AI Coding Live News

Cognition, the company behind Devin, posted on X at 01:45 UTC on Oct 30 that Google's new Gemini 4 Carbon scores 40% on its FrontierCode 2.0 coding benchmark at $4.04 per task, near the top and behind only Claude Opus 5.5, GPT-6 Astra and Claude Sonnet 5.5. The earlier Gemini 4 Argon scores 26.3% at a higher $6.41 per task. The results are Cognition's own runs, and the leaderboard on its site has been updated.

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AI coding agent company Factory announced Droid 1.0 on X and its blog at 22:31 UTC on Oct 29, calling it the largest update yet to its agent harness. The key change makes programmatic tool calling (PTC) the default: the model writes a JavaScript program that runs up to hundreds of tool calls in a sandbox in one model request. In Factorys own Terminal-Bench 4 runs, Droid scored 57.6% with GPT-6.1 Sol ($0.79 per passed task) and 65.2% with Claude Opus 5.5 ($4.73), ahead of Codex, Claude Code, Cursor, OpenCode and Devin on the same models.

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Cognition, the company behind Devin, announced on Oct 29 via its official @cognition account that it is acquiring Corridor. In a post on Cognition's official blog dated 2026.10.28, Corridor co-founders Jack Cable and Ashwin Ramaswami said the team is joining Cognition to take Devin Security to the next level. Corridor, founded almost two years ago, positions itself as the security layer for AI-native teams. Deal terms were not disclosed.

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Cognition, the maker of Devin, released FrontierCode 2.0 on Oct 27. It keeps the method of maintainer-written tasks graded on whether the code is actually mergeable, but draws tasks from more repositories, adds security patches and performance work, uses deliberately underspecified prompts and adds many thoroughness criteria. In Cognition's results Claude Opus 5.5 leads at 45.5%, GPT-6 Astra follows at 42.8%, and Grok 4.7 and Gemini 4 Argon drop into the 20s, leaving the benchmark far from saturated.

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Artificial Analysis released an independent evaluation of Cognition's new coding agent, Devin Fusion. Moving beyond single-model execution, Devin Fusion employs an asymmetric multi-agent architecture pairing Claude Opus 5.5 (max) as the lead reasoning orchestrator alongside GPT-6 Luna (high) as a high-speed parallel worker. In the standardized Coding Agent Index, Devin Fusion achieved an elite score of 68.1 (matching Muse Code at 68.0 and rivaling Claude Code Sonnet 5.5 at 68.4). Crucially, the hybrid architecture slashes average task expense from $13.04 down to $9.01 (a 31% cost reduction) while shortening execution runtime from 65 to 55 minutes.

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Cognition said on October 19 that Devin Fusion, pairing Claude Opus 5.5 as the lead with GPT-6 Luna as the sidekick, scored 68.1 on the Artificial Analysis Coding Agent Index v1.5. Artificial Analysis's current data puts it first, but only 0.1 ahead of Muse Code with Muse Wonder Full at 68.0, effectively a tie; Antigravity CLI with Gemini 4 Argon is third at 63.8. Cognition says the pairing costs 31% less per task than Claude Code with Opus 5.5 (vendor-reported). Fusion ships in Devin CLI and Desktop.

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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.

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On Oct 7 LiteLLM open-sourced Moyai (BerriAI/moyai), the self-hosted background coding agent its team runs daily: tasks from Slack or the browser run in isolated cloud workspaces that edit code, run tests and open PRs. Harnesses (Claude Agent SDK, Codex, Hermes, OpenCode, Deep Agents, Tool Loop) are switchable per session and inference routes through LiteLLM's 100+ providers. LiteLLM says replacing Devin cut a 31-day bill from $101,872 to about $21,700.

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GitHub's blog post ReviewBench (Oct 5, 2026) launches an offline AI code-review benchmark as a research preview. It has 219 PRs from 187 open-source repos in 19 languages, sampled to match the distribution of 103.9M GitHub PRs. The golden set combines human reviewers, several frontier LLMs and static analysis. Claude Sonnet 5 is the judge, and senior engineers agreed with its labels 96.6% of the time. On the leaderboard, grounded recall is 26.0% for Copilot Code Review (Balanced), 23.8% for Devin, 22.1% for Qodo and 9.6% for Cursor. The dataset, judge prompt and runner are MIT-licensed on GitHub.

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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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OpenHands (@OpenHandsAI, formerly OpenDevin) has released v1.23.0. This release significantly upgrades the multi-agent execution pipeline and sandboxed runtime, introduces automated regression evaluation suites for complex repositories, and enhances compatibility with local inference backends like vLLM and Ollama.

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@cognition introduced Devin Cloud in Terminal and devin ssh: create, steer, and resume Devin Cloud sessions from the CLI with /cloud, and for the first time SSH into Devin’s dedicated VM then /handoff the work back to your own device.

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