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All blog posts, tools, and guides about AI Coding Agents from Developers Digest.
5 resources - 5 posts

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'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.
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