Tooling20d ago
EverMind open-sources Raven: a harness-of-harnesses DAG over Claude Code, Codex, and Pi; ★5097 Apache-2.0
EverMind-AI/Raven orchestrates built-in Research/Code/Design/Oncall plus third-party harnesses (Claude Code, Codex, Hermes, Pi, …) via a Host Agent DAG with admission checks, and frames controlled self-evolution of Raven’s own harness (RSI). Verified: ★5097 / 145 forks; v0.2.3 (2026-09-27); arXiv 2609.33439. Site: Raven-Research 76.5% DeepResearch Mixed; paper: MAOB Exact Match +10.4/+10.5 pp vs strongest baseline. Pre-alpha.
Agents13d ago
Devin now works with any personal ChatGPT plan: Go, Plus or Pro subscriptions cover GPT model usage instead of Devin quota
On Oct 9 Cognition said Devin can now link any personal ChatGPT plan (Go, Plus or Pro). The GPT share of each session is billed to the ChatGPT subscription instead of Devin quota or on-demand credits, across Devin Cloud, Desktop and CLI. It requires a self-serve Devin Pro, Max or Teams plan (not Free or Enterprise), and falls back to Devin quota when the ChatGPT allowance runs out.
Research28d ago
Who Finishes the Job? First Empirical Study Reveals AI Coding Agent Merges Require 1.62x More Follow-Up Fixes
Researchers from Monash University and the University of Melbourne published the first large-scale empirical study tracking the post-merge lifecycle of AI coding agents across GitHub open-source repositories (arXiv:2609.26847). Analyzing 6,774 merged agent PRs (spanning Devin, Cursor, Claude Code, GitHub Copilot, and OpenAI Codex) against 5,044 contemporaneous human PRs across repos with 500+ stars, the study reveals that merged agent code requires verified follow-up bug fixes at 1.62 times the odds of human merges. However, 69.6% of verified fixes are authored by the same agent, and 76.4% of fix PR commits remain entirely agent-driven, debunking assumptions that human maintainers bear the full manual burden of cleanup.
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