AI CODING AGENTS
6 items
6 posts
The October SlopCodeBench run found xhigh reasoning effort costs 2x to 4x more than medium without reliably passing more checkpoints. What the numbers say and what to change.
Copilot CLI local sandboxing is GA. How it compares with Claude Code and Codex on defaults, network, credentials, Windows, and what still runs outside.
GitHub Copilot's impact dashboard now models ROI in dollars from AI credit use, PR output and salary. What it says about agent-first vs passive adoption.
LLM agents resolve real Java merge conflicts more often than structured merge tools in a calibrated ConflictBench study. Their edge is coverage: tools abstain.
Codex Security CLI and TypeScript SDK are now open source. What the repo contains and what HN says about scan cost, guardrails and local model support.
Opus 5 on SlopCodeBench hit a 24% strict pass rate, beating Opus 4.8 and Sonnet 5, yet code quality still degraded. What it shows about coding agents over time.

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