Key Takeaways Reproducing errors consistently makes analyzing and fixing issues easier and more structured.Tools like debuggers, logs, and performance monitors ...

AI startup Anthropic's claim of automating COBOL modernization sent IBM's stock plummeting, wiping billions off its market value. The decades-old language, still powering critical systems, faces a ...

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Chainguard, the trusted source for open source, today announced it has expanded Chainguard Libraries coverage across Python, Java, and JavaScript, with customers seeing 94% coverage across the Python ...

Vercel has launched "react-best-practices," an open-source repository featuring 40+ performance optimization rules for React and Next.js apps. Tailored for AI coding agents yet valuable for developers ...

More and more organisations are using Java as foundational language for AI development, with Azul’s 2026 State of Java Survey & Report revealing a significant increase. Last year’s report showed 50% ...

Despite rapid generation of functional code, LLMs are introducing critical, compounding security flaws, posing serious risks ...

Description: Experts argue LLMs won’t be the end-state: new architectures (multimodal, agentic, beyond transformers) will ...

Overview: Functional programming prevents unintended data changes, reducing errors in large systems.Pure functions improve testing accuracy because outputs depe ...

The drive towards newer Java versions and updated enterprise specifications isn’t just about keeping up with the latest tech; ...