Look to these tools to improve your AI coding practices and the quality, security, and reliability of your AI-generated code.

A systematic review newly published in the Journal of Pipeline Science and Engineering maps machine learning (ML) advances for pipelines across the full lifecycle: reliability-based design, structural ...

Introduces a low-rank-based approach to KV cache compression, one of the key bottlenecks in long-context AI; Speeds up ...

As UK police embrace the AI revolution, a WIRED investigation reveals the messy inside story of one region’s experiment with ...

QuantRate opens free access to its AI trading bot, giving investors a simpler way to review market signals, test ...

Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which optimization actually moved the needle.

Your dream vibe-coded app might be a security nightmare.

When an agent does something, the whole company should learn from it, so that every developer gets access to the shared ...

Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.

The Godot Foundation has had enough of AI slop PRs. The ban covers code, agents, and AI-generated text in human comms.

Life cycle assessment (LCA) is the gold-standard method for quantifying the environmental footprint of products and processes ...