AI CODING AGENTS

GitHub's impact dashboard now models Copilot ROI directly: cost per developer per month from real AI credit consumption, PR output per phase, and a salary selector. What the numbers actually tell you about agent-first vs passive adoption.

A calibrated study on real ConflictBench Java conflicts finds LLM agents match the developer's own resolution on 55-59% of true conflicts versus 36.7% for the best structured tool. The edge is coverage, not accuracy: the tools abstain on 20-90% of conflicts, the LLM on none.

OpenAI released the Codex Security CLI and TypeScript SDK as open source on GitHub. The Promptfoo team behind it, the 2.1k-star reception, and what the HN community says about cost, guardrails, and local model support.

Running Opus 5 through SlopCodeBench's multi-checkpoint gauntlet reveals that frontier models still degrade codebases over time. 24% strict pass rate, 5x more functions than Opus 4.8, and 93% of code lines trigger slop detectors.