Modern AI workflows rely on fragmented tools that don’t interoperate. Learn how an agent orchestrator can unify them into a coordinated, context-aware workflow.
ScopedValue in Java offers safe, immutable context propagation with clear scoping and minimal overhead—ideal for structured concurrency and virtual threads.
Learn how testing strategies like mutation and data-driven testing improve reliability and quality in Jakarta EE apps, with practical tools and examples.
Explore existing problems with AI-assisted coding. AI tools need to give developers more structure, more control, and more ways to test and trust what gets built.
Learn how to build scalable, resilient backend workflows on Google Cloud using state machines, Workflows, Eventarc, and more with real-world use cases.
Learn in this article how LangGraph’s Orchestrator-Worker agents enable dynamic task delegation using LLMs for smarter, scalable, and adaptive AI workflows.
Feature flags can supercharge agile UI delivery, but without intentional governance, they quietly become a source of complexity, risk, and technical debt.
Your brand shapes how others see your value. This helps developers grow by identifying brand archetypes that can boost their influence, visibility, and career momentum.
A deep dive into how GitHub Copilot handles multi-file context in real time using embeddings, symbols, and prompt queues to deliver smarter, context-aware suggestions.
In this article, learn how Amazon Q Developer, an AI-powered coding assistant, boosts productivity with smart code suggestions, tests, docs, and refactoring tools.
In the digital-first world, where customers need to adapt fast and technology advances at a breakneck speed, software development teams require more than technical skills. Here's how Agile can help.