New root cause analysis technology gives AI coding agents the ability to diagnose application failures and deliver actionable debugging insights with less developer involvement.

The release includes an embedded MCP server that exposes Spring project analytics to AI coding assistants, along with first-class support for Spring AI and automated property refactoring.

Karpathy CLAUDE.md ten rules: a document attributed to Andrej Karpathy began circulating Friday, adding six agent self-check ...

The model learns that hedging is a signal of lower-quality output. This creates a systematic bias toward sounding certain.

Softjourn approaches legacy system modernization with a code audit led by senior engineers who assess architecture, ...

Checkmarx today unveiled Checkmarx SAST, which the company said is the first static analysis engine with a security-tuned LLM ...

Abstract: Cross-language programming is a common practice within the software development industry, offering developers a multitude of advantages such as expressiveness, interoperability, and ...

May 2026 TIOBE Index keeps Python #1 as Java edges past C++. R climbs to #8, and Paul Jansen says statistical tools are consolidating around Python and R. May’s TIOBE Index has a clear headline move ...

Foundational is the only data and AI governance platform with visibility across every source code layer, application layer, legacy system, and data workload, purpose-built to automate the compliance ...

Abstract: Software system documentation is almost always expressed informally in natural language and free text. Examples include requirement specifications, design ...

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Long-Term Support release, with features ranging from structured concurrency and compact object headers to ahead-of-time method profiling and JFR CPU-time profiling on Linux, is now generally ...