AI Coding Live News

Anomaly, the company behind open-source coding agent OpenCode, shipped Hex 3.0 stable: hold a shortcut, speak, and the text is pasted at your cursor. Recognition runs on-device, local model memory drops from about 900 MB to about 160 MB, and it adds vocabulary hints, a hex CLI and optional OpenCode rewriting.

Zoom

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.

Zoom

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.

Zoom

On Oct 28 independent evaluator Artificial Analysis released Intelligence Index v5, its biggest revision since v4 in January: it adds Cognition's FrontierCode 2.0 and Terminal-Bench-Science, swaps Humanity's Last Exam for HLE-Diamond, and now draws 60% of its weight from private or held-out test sets. Claude Opus 5.5 (max) leads at 58, ahead of GPT-6 Astra at 57 and GPT-6.1 Sol at 55; the top open-weights model, Kimi K3.1 Pro (weights not yet released), scores 46, widening the gap from 3 points in v4.3 to 12. It also launched Progress Index v1 for comparing models across years.

Zoom

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.

Zoom

On 2026-10-23 Artificial Analysis launched Coding Agent Index v2.0, which scores model-plus-harness combinations across 290 tasks with three equally weighted benchmarks: FrontierCode v1.1 from Cognition (100 tasks on real open-source repos, graded on whether a maintainer would merge the change) replaces DeepSWE v1.1, SWE-Atlas-QnA becomes the stricter SWE-Atlas-QnA-AA, and Terminal-Bench 4.0 is unchanged. Claude Code with Claude Opus 5.5 (max) leads at 61.7, ahead of Sonnet 5.5 at 59.3 and Muse Wonder Full at 58.9. Scores fall across the board: the 21 configurations measured on both versions drop from a mean of 54.8 to 47.4.

Zoom

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.

Zoom

On Oct 20 ElevenLabs released Eleven Realtime, end-to-end speech-to-speech models where each model is a complete voice agent, removing the need to wire up speech recognition, an LLM and text-to-speech yourself. v1 Mini targets low-cost natural conversation and v1 Max targets support and multi-step tool use. Both cover 90+ languages and 17,000+ voices. Citing independent Artificial Analysis evals, Max answers 98.8% of Big Bench Audio correctly and starts speaking in 0.57s on average. The API is OpenAI Realtime compatible, so migrating means changing the endpoint and model name.

Zoom

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.

Zoom

On October 19 Ant Ling (inclusionAI) open-sourced five Ming-3.0 models under MIT, spanning speech synthesis (tts-0.5B; tts-tiny, 7.9B total/1.3B active), audio understanding (audio-flash, 126B/6.5B active; audio-tiny, 9.3B/2.7B active) and speech recognition (asr-tiny, 8.6B/2B active). Per the vendor, tts-0.5B ranks #1 among open-weight models on Artificial Analysis Controlled Voice at 1069 Elo and ties #1 overall on pronunciation robustness at 93.2%; asr-tiny averages 4.41% error across four ASR categories. Weights are on Hugging Face and ModelScope, with day-0 SGLang and vLLM support.

Zoom

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.

Zoom

LangChain shipped langchain==1.4.3 on 2026-09-28 (on PyPI): init_chat_model supports AWS Bedrock Mantle chat models via langchain-aws Mantle interfaces; recognizes GPT-6 structured output without profiles; create_agent emits error ToolMessages for invalid tool calls missing results on replay; sanitizes cache settings for fallback models. Key PRs: #40837, #40844, #40530, #40886 vs 1.4.2.

Zoom

Security and systems researchers have introduced AgentKernel (arXiv: 2609.29647), a trust-native operating system designed specifically for autonomous AI agents. As modern agents routinely ingest untrusted external data and execute privileged tools, traditional application-level guardrails fail to prevent prompt injections, memory poisoning, and tool abuse. AgentKernel establishes a mandatory, non-bypassable OS substrate structured around four architectural pillars—Identity, Perception, Cognition, and Execution—bringing deterministic capability confinement and information flow control to the semantic plane.

Zoom

@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.

Zoom