News Aggregator

Debugging Bias: How to Audit Machine Learning Models for Fairness at Scale

Aggregated on: 2025-07-28 17:14:28

As machine learning (ML) systems increasingly shape decisions in finance, healthcare, hiring, and justice, questions of fairness are no longer philosophical or peripheral; they're foundational. While model accuracy and performance still dominate technical discussions, they alone don’t guarantee ethical or responsible AI. In fact, a highly accurate model can still be deeply unfair if it's built on biased data or deployed without regard to disparate impacts. Fairness in ML is a multifaceted and often misunderstood problem. It’s not just about intent, it’s about outcomes. A seemingly neutral model can encode historical bias or reflect systemic inequalities, producing skewed decisions that affect real lives. That’s why fairness audits are essential, not as one-time checks, but as continuous, technical practices baked into the machine learning lifecycle.

Implementing Secure Multi-Tenancy in SaaS Applications: A Developer's Checklist

Aggregated on: 2025-07-28 16:14:28

Secure Multi-Tenancy Implementation Guide As a developer who has worked extensively with SaaS applications, I've learned that implementing secure multi-tenancy is one of the most critical aspects of building scalable software-as-a-service platforms. Through my experience, I've compiled this comprehensive checklist to help fellow developers navigate the complexities of multi-tenant architecture while maintaining the highest security standards. Multi-tenancy allows a single instance of my application to serve multiple customers (tenants) while keeping their data completely isolated and secure. Let me walk you through everything I've learned about implementing this architecture effectively.

Building Intelligent Applications Using Generative AI and Azure Database for PostgreSQL

Aggregated on: 2025-07-28 15:14:28

Generative AI is transforming how modern applications are built, deployed, and scaled. Developers can now run text summarization within the database using a simple SQL command. Azure Database for PostgreSQL provides an ability to integrate directly with Azure AI services so that the developers have the power to directly use GenAI capabilities into their own data layer, streamlining workflow, automating the insights, and providing next-level user experiences.

Docker Model Runner Makes Running Models Simpler

Aggregated on: 2025-07-28 14:29:28

Docker is a cornerstone for the cloud industry, well-known for running container-based workloads. And the newest addition to their armoury is Docker Model Runner, which takes running models on your desktop to a whole new level. So, let's dive in and explore what a model runner is and how it simplifies local development with LLMs. The first thing I love about the Docker model runner is that you can package models as Open Container (OCI) artefacts and distribute them using the same registries we already use for container images. Just look at the Docker GenAI registry; it already supports a bunch of popular models like DeepSeek, Gemma, Mistral, LLAMA, and PHI.

5 Ways Microsoft’s MCP Protocol Will Transform Software Testing Forever

Aggregated on: 2025-07-28 13:29:28

The AI Testing Revolution Microsoft’s Model Context Protocol (MCP) signifies a paradigm shift in how AI agents engage with applications and services. Recently announced as a foundational component of Windows 11’s “agentic OS” at Microsoft Build 2025, MCP offers a standardized framework for AI agents to connect with native applications, enabling seamless orchestration across local and remote services (Microsoft, 2025a). Much like how HTTP revolutionized web communication, MCP is set to become the universal standard for AI agent interactions, fundamentally transforming software testing methodologies and practices.

Measuring DevOps Success in the Enterprise With DORA Metrics

Aggregated on: 2025-07-28 12:29:28

DevOps Research and Assessment (DORA) metrics came into play when businesses needed a clear way to measure the performance of DevOps teams. Before this, software developers and operational managers were working independently, which resulted in slower deployments and increased risk rates. With the help of DORA metrics, businesses can have a look at detailed insights about which software team needs attention and what the key points of excellence are. Tracking the software development teams regularly helps businesses improve their weak areas, resulting in higher efficiency and subsequently increased productivity. This blog will introduce five DORA metrics, their benefits, and how to utilize them to enhance software performance and quality.

How to Ethically Integrate AI Into Your Software

Aggregated on: 2025-07-28 11:14:28

Artificial intelligence has very quickly become a standard part of the software we use every day. In fact, research shows that 73% of companies in the U.S. are already using AI in some capacity, and this trend isn't showing any signs of slowing down. As AI's capabilities grow, so does the importance of thinking about how to use it ethically. The main challenge for developers and companies is to find the right balance between pushing forward with AI innovation and making sure it's done responsibly.

Agile and Quality Engineering: Building a Culture of Excellence Through a Holistic Approach

Aggregated on: 2025-07-25 20:14:27

Introduction In the age of digital disruption, organizations face relentless pressure to deliver value faster, reduce time-to-market, and exceed user expectations. Agile methodologies emerged as a response to these challenges, promoting flexibility, collaboration, and continuous delivery. However, agility without quality is a recipe for technical debt, customer dissatisfaction, and inefficiency. That’s where quality engineering (QE) steps in — not as a post-development gatekeeper, but as an integral part of the Agile life cycle.

Avoid Downtime: Smart Strategies to Upgrade Legacy Applications Without Breaking Systems

Aggregated on: 2025-07-25 19:14:27

Legacy applications are often categorized as liability assets of an organization. Hard-to-maintain, complex interfaces, outdated technology, and severe security risks are some of the common issues raised that can be major roadblocks to business growth and long-term goals. However, if modernized correctly, they can be valuable resources, eliminating critical challenges related to maintenance costs, security, and compatibility issues with modern systems. After reading this blog, you will have a keen understanding of legacy applications, the risk associated with downtime, the challenges involved in holding on to legacy applications, and smart strategies to implement while upgrading. By following the strategies given below, you should be able to modernize your legacy application without downtime or any disruptions. ftf

Unity Catalog + AI: How Databricks Is Making Data Governance AI-Native in 2025

Aggregated on: 2025-07-25 18:14:26

The cross-section of artificial intelligence and data governance has come to a defining moment in 2025, but Databricks is taking the lead here. As AI technologies and enterprise data ecosystems evolve rapidly, and the ecosystems themselves become more complex, traditional governance models seem to be incapable of meeting the new requirements. Databricks has reacted to this by bringing AI natively into Unity Catalog — its unified layer for governance — changing how organizations manage, secure, and gain value from data. This integration is a major paradigm shift in data governance from reactive and human-based to proactive, intelligent, and scalable systems.

The Open Source Climate Stack: Essential GitHub Repos Powering the Decarbonization Movement

Aggregated on: 2025-07-25 17:14:26

Climate change is accelerating, so there is a growing need for developers to leverage their skills to support global decarbonization efforts. Open-source software helps you with this mission by enabling more solutions. With key tools that monitor emissions and optimize clean energy systems, you can greatly reduce carbon. The Importance of Open-Source for Climate Innovation Open-source software speeds climate innovation by facilitating transparency, reproducibility, and global collaboration. With no licensing restrictions, developers across disciplines can adapt solutions by reducing duplication and fast-tracking implementation. This contribution is especially vital in a space where scalable, verifiable tools are essential to manage complex systems, including:

AI for Agile Coaches: The Upgrade You Didn't Know You Needed

Aggregated on: 2025-07-25 16:29:26

I’ve been coaching Agile teams long enough to know one thing for sure: we love sticky notes. We love whiteboards. We love retrospectives that feel like therapy and standups that, when done right, buzz with energy. What we don’t love? Being buried under spreadsheets, chasing metrics across JIRA boards, or losing hours rewriting sprint summaries that no one will read. And now we’re told AI is here to help us.

Configuring Embedded Global Cache for App Connect Enterprise Running in Containers

Aggregated on: 2025-07-25 15:29:26

With the release of App Connect Enterprise 13.0.3.0, the new Embedded Global Cache has been introduced as a replacement for the older WebSphere eXtreme Scale (WXS) embedded cache, now referred to as the Embedded WXS grid. As outlined in the product’s statement of direction, the Embedded WXS grid is now deprecated, though it will remain functional as long as Java 8 continues to be supported in ACE. Similar to its predecessor, the Embedded Global Cache allows you to store and reuse data across the same integration flow, between different flows, or even across multiple integration servers—removing the need for alternative persistence solutions like databases.

CI/CD at Scale: Smarter Pipelines for Monorepo Mayhem

Aggregated on: 2025-07-25 14:29:26

Have you ever looked at a large monorepo and thought to yourself, “How the heck am I going to CI/CD this?”. If so, you are not alone. I’ve been there — navigating an endless sea of services, shared libraries, and deploy targets. And eventually, with the right techniques and tools, CI/CD became less of a monster and more of a machine. Let me share my journey from foundational concepts to being production-ready, so that you can optimize your pipelines and pick up one or two things you hadn’t thought of before.

Smart-Doc: Generating gRPC API Documentation in Java Projects

Aggregated on: 2025-07-25 13:14:26

Foreword In modern Java microservices, gRPC simplifies inter-service communication with its efficient binary protocol and multi-language support. However, maintaining gRPC API documentation can be challenging as projects grow. Among various AI tools, smart-doc stands out as the optimal solution for generating gRPC API documentation in Java projects. Advantages of Smart-Doc in Java Projects 1. Fast Speed Smart-doc is designed to quickly scan code and generate documentation without additional runtime dependencies. It directly extracts .proto files, compiles them into Java code using protoc, and then generates documentation by parsing the Java code and comments. This process is much faster than AI tools.

Test Pyramid: Test Setup Best Practices

Aggregated on: 2025-07-25 12:14:26

Testing our code is essential for maintaining the high quality of our code. In the long term, tests are crucial to ensure that we have maintainable software at all. Today, I will dive into the Test Pyramid and present a way to structure your tests to get the most out of them. This is a revisited and revamped version of my original article on the Test Pyramid.

Modern Data Projects Need Agile Thinking — Not Just Tech

Aggregated on: 2025-07-25 11:14:26

Data is an asset. Like software code, it is a valuable organizational resource that must be stored, protected, governed, and leveraged. It retains value over time, drives insights, and requires strong governance. As organizations pivot toward data-driven decision-making, engineering teams and project managers accustomed to software development are finding themselves at the helm of data projects, facing unfamiliar territory. This article outlines common points of failure and challenges that Data Project managers and engineering teams face when transitioning from traditional software engineering to leading Agile data projects. It demonstrates how Agile principles can help navigate and mitigate these challenges.

Data Partitioning and Bucketing: How Modern Data Systems Organize and Optimize Your Data

Aggregated on: 2025-07-24 20:29:26

As data volumes continue to grow, efficient data organization becomes crucial for performance, scalability, and cost management. Two of the most effective strategies for structuring big data are partitioning and bucketing. Although often mentioned together, they serve different purposes and are implemented in different ways. This article offers a practical, detailed look at how these techniques work, their impact on storage, and how to use them effectively in your data pipelines. What Is Data Partitioning? Partitioning divides a large dataset into smaller, more manageable segments based on the values of one or more columns (partition keys). Each partition is typically stored as a separate directory in the storage system (e.g., HDFS, S3, or cloud object storage).

How LangChain Is Powering Next-Gen AI Apps: A Developer’s Guide in 2025

Aggregated on: 2025-07-24 19:14:26

The AI landscape in 2025 has evolved at a pace few could have predicted. At the heart of this transformation is LangChain, a dynamic framework that has become essential for developers building next-generation AI applications. Whether it’s conversational agents, retrieval-augmented generation (RAG) systems, autonomous workflows, or embedded LLMs in enterprise tools, LangChain offers a flexible and modular foundation that accelerates development while maintaining reliability and scalability. This blog delves into the evolution of LangChain, showcasing its advanced features and how it has become a pivotal tool for developers in 2025. From streamlining LLM integrations to enabling the creation of autonomous agents and intelligent workflows, LangChain offers a powerful, flexible framework for building AI-driven applications. Whether building now customer-facing chatbots, enterprise tools, or complex decision-making systems, this guide will help you unlock LangChain’s full potential to create scalable, cutting-edge AI experiences.

Secure Microservices in Java: Cloud-Native Design With Zero Trust Architecture

Aggregated on: 2025-07-24 18:29:26

Microservices enable modern application architecture in today's fast-changing digital world. They break apps into smaller, deployable services, and this accelerates development, improves scalability, and increases flexibility. Cloud computing's capabilities for distributed systems and containerized settings make this step vital, contributing to its exponential rise in popularity. Java remains popular among developers who want to build scalable, high-performance online applications due to its solid ecosystem and long-standing frameworks, such as Spring Boot and Jakarta EE.

Absolute Zero: How AI Is Learning Without Data

Aggregated on: 2025-07-24 17:14:26

The Absolute Zero Reasoner The Absolute Zero Reasoner (AZR) is a recent AI innovation that presents a new methodology for AI models to learn and reason. This method diverges from traditional AI learning approaches by enabling AI to learn from scratch, without the need for pre-existing human-provided data. This is a key point: It is given zero data and self-evolves, in a similar way to Deep Mind's Alpha Zero. Alpha Zero learned by itself the games of chess, go, and shogi without any human-fed data and eventually reached a super-human level. AZR is extending this self-play beyond board games.

Concurrency in Rust: Writing Safe and Efficient Code

Aggregated on: 2025-07-24 16:29:26

Concurrency is a core principle of modern software application development that allows applications to execute many tasks at the same time. Computing paradigms continue to evolve, making use of preemptive multi-core and distributed architectures, thus concurrency becomes paramount for achieving the best performance and responsiveness. Whether processing huge amounts of data or ensuring smooth user experiences in web applications, concurrency enables resource efficiency and improved performance. That said, writing concurrent programs can have its challenges. Problems such as race conditions, deadlocks, and data corruption are common weaknesses of classical concurrent programming patterns that lead to unpredictable and hard-to-debug behavior. Most programming languages use manual memory management or garbage collection, both of which can add overhead and unnecessary inefficiencies when dealing with concurrency. Rust addresses these issues using an ownership model and an expressive type system to implement a unique and safe concurrency mechanism.

[Part-4] Text to Action: Wake Word Detection Speech to Calendar Event

Aggregated on: 2025-07-24 15:14:26

Welcome to the fourth installment of our “Text to Action” series, where we’re building intelligent systems that transform natural language into real-world actions using AI. In [Part-1] Text to Action: Build a Smart Calendar AI Assistant, we established our foundation by creating an Express.js backend that connects to Google Calendar’s API. This gave us the ability to programmatically create calendar events through exposed API endpoint.

Deploying Containers on Azure Container Apps

Aggregated on: 2025-07-24 14:29:26

Azure Container Apps are a popular offering that helps you deploy Docker containers. It provides a sweet spot between effortless container scaling and avoiding the operational complexity of managing a full Kubernetes environment. Some of its best use cases include deploying API endpoints, building event-driven services, and running cloud workflows. In addition, it also provides all the observability features required for cloud-scale monitoring and alerting. As part of this tutorial, we will explore how to deploy a container to Azure Container Apps.

The Hidden Bias in AI: How Data Shapes the Ethics of Machine Learning

Aggregated on: 2025-07-24 13:14:26

Artificial intelligence (AI) has emerged at the top of technological innovation and has promised remarkable advancements throughout industry verticals. From healthcare and logistics to finance and education, AI has been transforming how we live, work, and do business. Nevertheless, as enterprises opt for AI, it is also essential to grapple with the ethical concerns that arise from its use. One of the most pressing concerns in this system is the hidden bias that comes with ingrained AI systems. The bias stems from the data AI models are trained on.

Why Data Privacy Without Context Will No Longer Work in 2026

Aggregated on: 2025-07-24 12:14:26

The comfort zone of anonymization is breaking. For years, enterprises have limited their privacy goals to surface-level techniques of anonymization. Techniques such as Mask PII, which obfuscate identifiers and others, are often assumed to ensure compliance without thorough execution. And that’s the red flag in today’s AI-influenced, agile data environments. Given global regulations getting stricter, multi-cloud environments can’t lean on schema-level anonymization anymore. Not only does it lose business context, but it also destroys relationships and data utility.

What Is Availability? Theory, Problems, Tools, and Best Practices

Aggregated on: 2025-07-24 11:29:26

Availability is the measure of a system’s ability to stay up and running despite the failures of its parts. Today, I will explore this core trait of distributed systems. I will cover theory, challenges, tools, and best practices to ensure your system stays up and running against all odds. Let's start with theory.

Building a Modern Data Platform That Delivers Real Business Value

Aggregated on: 2025-07-23 20:14:25

Data modernization is a strategic endeavor that transforms the way organizations harness data for value creation. It involves adopting innovative approaches in terms of accessibility, governance, operations, and technology, typically centered around modern cloud architectures. This transformation is not limited to technology alone but extends to rethinking people and processes within an organization. At its core, data modernization aims to facilitate easier and more effective use of data through enhanced governance structures, operational practices, and technological frameworks. The objective is to ensure that data ecosystems evolve to support the growing demand for timely, accurate, and actionable insights. The strategic importance of this transformation lies in its ability to unlock new business opportunities, improve decision-making, and strengthen competitive positioning by making data an accessible and valuable asset across all levels of the enterprise.

Configuring Model Context Protocol (MCP) With Amazon Q CLI

Aggregated on: 2025-07-23 19:14:25

Amazon Q CLI is a next-generation developer tool that brings IDE-style autocomplete and agentic capabilities to your terminal. I’ve spent a lot of time writing about this powerful tool, so I was especially excited when v1.9.x was released in May—it introduced support for the Model Context Protocol (MCP) for tools use. What is Model Context Protocol (MCP)? If you have not heard about MCP (where have you been?) then check out my colleague's post on this, Standardizing AI Tooling with Model Context Protocol (MCP)

Undocumented Java 16 Feature: The End-of-File Comment

Aggregated on: 2025-07-23 18:29:25

While working on some code where I wanted to obscure parts of it using Unicode escapes instead of the actual source, I accidentally stumbled upon an undocumented feature that’s been around since Java 16: what I call the end-of-file comment. In Java, we typically have three types of comments:

The Golden Signals of Monitoring

Aggregated on: 2025-07-23 17:29:25

This article describes "Golden Signals," how they can provide a high-level health overview and performance of your service. These signals are very useful to understand the state of any service and can help identify potential issues. They can be used as a good starting point to implement monitoring strategies specific to your workload. If any of these signals are out of the norm, it is a strong indicator that something needs attention. Here's a breakdown of each signal and how it can be used as a starting point for monitoring your services:

Beyond the Handoff: How Product and Engineering Teams Are Redefining Collaboration

Aggregated on: 2025-07-23 16:14:25

The modern digital product team gathers in a glass-walled conference room at a Seattle technology firm. Sitting around the table are the product manager, three engineers, a UX designer, and a data analyst. They're not debating a completed feature or fighting about a product roadmap. Instead, they're engaged in what increasingly organizations call "product discovery"—a collaborative exploration of user problems before a line of code is written. This moment, all too familiar to top tech organizations, marks a sea change in the way that product and engineering teams interact. The old model of handoffs—product folks defining requirements, engineers building out—has its days numbered.

[Part-3] Text to Action: Adding Voice Control to Your Smart Calendar

Aggregated on: 2025-07-23 15:14:25

Welcome to the third installment of our “Text to Action” series, where we’re building intelligent systems that transform natural language into real-world actions using AI. In "[Part-1] Text to Action: Build a Smart Calendar AI Assistant," we established our foundation by creating an Express.js backend that connects to Google Calendar’s API. This gave us the ability to programmatically create calendar events through exposed API endpoint.

Building Resilient Event-Driven Applications Using Temporal

Aggregated on: 2025-07-23 14:14:25

Temporal is an open-source durable workflow engine that allows developers to write fault-tolerant, long-running, and stateful applications using simple code. This guide walks you through setting up Temporal locally, writing your first workflow, and running it end-to-end using the TypeScript SDK. Problem: Distributed Systems Are Complex to Manage Building modern software systems isn’t getting any easier. As companies move to the cloud and break their applications into microservices, the promise is agility and scalability. But what developers actually end up with is a tangled web of APIs, message queues, retry logic, and fragile cron jobs. A single user action — like placing an order or submitting a loan application — can trigger dozens of interconnected processes that need to happen in the right order, with the right timing, and ideally, never fail. But they do fail. Networks timeout. Services go down. Scheduled jobs disappear silently. And every failure is another patch, another workaround, another sleepless night for engineers. Writing and maintaining the glue code to handle these failures gracefully is frustrating, repetitive, and hard to test. It’s like trying to build a house of cards in the middle of a windstorm — one shaky piece and everything crashes. That’s the harsh reality of distributed systems today.

Designing Retry-Resilient Fare Pipelines With Idempotent Event Handling

Aggregated on: 2025-07-23 13:14:25

In modern flight booking systems, streaming fare updates and reservations through distributed microservices is common. These pipelines must be retry-resilient, ensuring that transient failures or replays don’t cause duplicate bookings or stale pricing. A core strategy is idempotency: each event (e.g., a fare-update or booking command) carries a unique identifier so processing it more than once has no adverse effect. In practice, this means assigning a unique event ID or idempotency key to each fare request. For example, an airline booking API might attach a unique request token so that if a user’s retry comes through, the service recognizes and ignores it. This prevents duplicate bookings if, say, a payment call times out and is retried. Similarly, pricing events should include a unique price-update ID. Downstream consumers (cache updaters, booking services, analytics) record these IDs (in a database or distributed cache) and skip any event with an already-seen ID.

Automating a Web Form With Playwright MCP and MySQL MCP

Aggregated on: 2025-07-23 12:14:25

Combining browser automation with database interactions opens up powerful possibilities. Imagine fetching user data from a database and using it to populate a web form automatically — no manual scripting required. With Playwright MCP (Model Context Protocol) and MySQL MCP, you can achieve this seamlessly. In this blog, I’ll walk you through how to integrate these tools to fetch data from a MySQL database and use it to fill in the checkout in the Web Form. By the end, you’ll have a working automation setup that’s both efficient and scalable.

Software Engineering Trade-Offs: Why We Cannot Build the Perfect

Aggregated on: 2025-07-23 11:14:25

In a couple of my last articles, I emphasized the importance of different software engineering trade-offs, for example, here. I have been trying to point out that focusing on maxing out just one trait can cause problems in others. I believe that the main part of our job as software engineers should be to min-max different software engineering trade-offs and even the trade-offs of different combinations of trade-offs. Software engineering is the art of constantly balancing all these things. Below you can find eight trade-offs, plus their pros and cons. I will also share a very simple framework for navigating software engineering trade-offs.

Implementing ΔE-ITP in Python: Accurate Color Difference Metric for Image Processing

Aggregated on: 2025-07-22 20:29:27

Image difference analysis is essential in computer vision, graphics processing, and media quality assessment. Whether you're evaluating compression artifacts, detecting subtle regressions, or comparing perceptual similarity, various metrics help quantify differences between images. This article discusses popular image difference metrics, their pros and cons, and recommends ΔE-ITP, a modern, perceptually optimized color difference metric. We’ll also look at how to implement DeltaE ITP—including transforming images from SDR, HLG, and PQ into ITP—and interpreting the reported color differences effectively.

More Than Just Buttons: A Frontend Engineer's Exploration of Accessibility Frameworks

Aggregated on: 2025-07-22 19:29:25

Accessibility is often treated as actions that have to be implemented like checkboxes. In this scenario, contrast, alt images, and tagging will create structure. However, in real-world scenarios that involve advanced frontend systems, accessible interfaces are products of architectural decisions. In a practical scenario, as a senior engineer, there are multiple factors of influence apart from the coding aspects. The impact radiates to the workflows of development, component systems, and patterns, which are used or created by others. If there is no strategy incorporated during construction for accessibility, there will be difficulties or bridge gaps that need to be crossed when trying to patch this problem later on, causing multiple regressions.

Implementing Least Privilege in AWS IAM: Principles, Practices, and Automation

Aggregated on: 2025-07-22 18:14:25

The principle of least privilege is fundamental to securing cloud environments by ensuring that identities have only the permissions necessary to perform their tasks. In AWS Identity and Access Management (IAM), sticking to the principle of least privilege is one of the smartest ways to reduce the chances of unauthorized access, data leaks, or someone getting more permissions than they should. This paper dives into how to apply the principle of least privilege in AWS IAM, covering key best practices, common challenges, and ways to automate policy management. It also highlights AWS tools that help with analyzing, validating, and enforcing IAM policies at scale. Introduction As organizations increasingly adopt AWS cloud services, managing access control becomes a critical aspect of maintaining a secure and compliant environment. IAM lets you control exactly who can access which resources in your AWS environment and under what conditions they can do it. However, without careful policy design, users and services may accumulate excessive permissions, thereby violating the principle of least privilege and introducing security risks. This paper outlines approaches for achieving least privilege in AWS IAM and highlights automation techniques that enhance efficiency and accuracy in policy management.

Building a Multi Tenancy Platform Using Camunda

Aggregated on: 2025-07-22 17:14:25

Camunda is an open-source workflow and decision automation platform for the modeling, execution, and monitoring of business processes following BPMN (Business Process Model and Notation), DMN (Decision Model and Notation), and CMMN. It is used for the orchestration of complex workflows among microservices, APIs, human tasks, and external systems. Camunda is embedded by developers into their applications to automate business logic, monitor process state, and bring operational transparency. Camunda enables companies to orchestrate processes across people, systems, and devices to tame complexity continuously and drive efficiency. A common visual language enables business and IT teams to collaborate seamlessly in designing, automating, and optimizing end-to-end processes with the speed, scale, and resilience required to compete.

Agile-Based Fine-Tuning of AI Agents for Domain-Specific User Feedback Loops

Aggregated on: 2025-07-22 16:14:25

Since AI agents are becoming an inseparable part of various applications across financial, healthcare, customer service, and engineering domains, one issue remains at the forefront: how to keep models accurate, relevant, and aligned with the changing demands of users. Powerful standard pre-trained models usually fail to perform well in narrow tasks without a continuous tuning process. This has given impetus to Agile-based fine-tuning—a feedback-driven process in which AI agents are aligned through iterative, short cycles, similar to those used in agile software development (Tupsakhare, 2022). Such a strategy encourages constant change and step-by-step evolution, steered by actual user feedback loops. Agile Meets AI: A Synergistic Framework Agile practices focus on sprints, quick iterations, stakeholder comments, and unceasing delivery. This, together with the AI fine-tuning, becomes a dynamic process: gather user feedback, retrain or adjust the model, roll out the adjustments, repeat. An agile approach to AI systems could reduce time-to-market on model updates by 30% and maintain accuracy through a drift in the data (LinkedIn, 2024).

Why Microservices Teams Struggle to Ship Independently

Aggregated on: 2025-07-22 15:14:25

At a glance, the benefits of microservices seem obvious: independent teams can move faster, deploy more frequently, and scale systems more effectively. In theory, this architecture should unlock agility. But for many teams, that promise hasn’t materialized — not because their systems are flawed, but because their processes haven’t evolved in step. If your team still relies on heavy coordination for a single microservice change, waits days for staging access, or juggles PRs through slow, serialized pipelines, you may have a distributed system — but you’re still operating like a monolith.

Building a Proactive Cloud Environment Using AWS Monitoring

Aggregated on: 2025-07-22 14:29:25

Cloud applications need to run smoothly and reliably more than ever. Building a proactive cloud means monitoring your AWS resources continuously to detect and resolve issues before they hit users. With AWS’s monitoring tools, you can get real-time visibility, automate responses, and achieve optimal performance. This article will show you how to do that, combining strategic best practices with practical tips to help cloud architects, DevOps engineers, and CTOs keep their AWS infrastructure resilient and efficient.

Debugging Distributed Flight Search: What Logs Alone Won’t Tell You

Aggregated on: 2025-07-22 13:29:25

Modern flight-search systems juggle dozens of services — search APIs, fare engines, cache clusters, and partner gateways — all to assemble a single price quote in milliseconds. When something goes wrong (say, a price anomaly or missing fare), sifting through siloed logs can leave engineers blind. True visibility comes from observability: correlating logs with metrics and traces across the architecture. In practice, senior teams have learned that without request tracing and rich metrics, elusive faults in fare pricing often defy diagnosis. Here we describe a typical flight‐search flow, show why plain logging falls short, and share how Datadog-powered observability (metrics, tracing, correlation IDs, alerts) saves the day. We draw on anonymized incidents — intermittent mismatches, provider glitches, race conditions — to underscore practical lessons and concrete debugging strategies.

How to Create Loki Alerts via PrometheusRule Resource

Aggregated on: 2025-07-22 12:29:24

In modern observability stacks, log-based alerts are often more immediate and actionable than those based on metrics, especially when you're tracking down anomalies, security incidents, or sudden application failures. While tools like Loki simplify log aggregation, turning those logs into meaningful, automated alerts remains a challenge. In the world of metrics, many engineers are familiar with Prometheus and its PrometheusRule resource for Kubernetes. But what if you could apply that same flexible, declarative alerting model to Loki logs?

Lock-Free Programming: From Primitives to Working Structures

Aggregated on: 2025-07-22 11:29:24

Working with multiple threads is one of the most complex problems we may encounter in our daily work. When put against the wall of multithreading, most people right away reach out for blocking approaches. In Java, it takes the form of the synchronized keyword, or some other less painful mechanisms, like ReentrantLock. Locks are not the only option: Lock-free programming is also the way. In this text, I will show problems, techniques, and best practices related to Lock-Free Programming. I will also provide a real-life example of how to implement a Lock-Free stack. Besides, I will share common patterns on moving from Lock-Free to Wait-Free.

6 Ways AI-Enhanced Phishing Can Hijack Developer Workflows (and What to Do About It)

Aggregated on: 2025-07-21 19:29:24

Phishing is no longer just an inbox problem – it’s a full-fledged software development supply chain risk. Some 60% of breaches studied in the 2025 Verizon Data Breach Investigations Report involved the “human element,” with phishing and credential abuse topping the list. Phishing volume overall has increased by 4,151% since ChatGPT’s debut, according to SlashNext’s mid-2024 report.

Software Supply Chain Security Regulations From a DevSecOps Perspective

Aggregated on: 2025-07-21 18:29:24

Editor's Note: The following is an article written for and published in DZone's 2025 Trend Report, Software Supply Chain Security: Enhancing Trust and Resilience Across the Software Development Lifecycle. High-profile software supply chain attacks like SolarWinds, Log4j, and MOVEit highlight the urgent need to address the vulnerabilities caused by insecure software supply chains, prompting a decisive regulatory response. In the United States, entities like the Federal Trade Commission (FTC), the Computer Fraud and Abuse Act, and emerging state laws are already being used to penalize companies that contain or distribute vulnerable or malicious code. Meanwhile, Europe's Cyber Resilience Act and new Product Liability Directive impose stricter cybersecurity obligations, heavy fines, and even personal accountability for software-related harm.

Reasoning Models Explained: What They Are, How They Work, and When to Use Them Over Traditional LLMs

Aggregated on: 2025-07-21 17:14:24

If you’ve been closely following the evolution of AI in recent years, you are probably aware of the various significant leaps that have advanced the capabilities of the technology. From the development of LLMs to the generative pre-trained transformer (GPT) that delivered the generative AI offerings that have taken the world by storm, innovation in the field has ramped up significantly in a relatively short space of time. It is an incredible journey that has precipitated the fast realization of AI-led value and potential across industries—and that journey continues. The latest and most significant advancement comes in the form of reasoning models, which are, quite literally, bringing a more considerate element to the technology. Here’s how.