#GitHub

AITessl's blog post argues that repository automation needs Continuous AI, a third pillar alongside CI and CD for scheduled, auditable AI workflows that improve repositories over time. The article describes GitHub Agentic Workflows, which harden agentic workflow specifications into GitHub Actions that can run coding agents such as Claude Code, Copilot CLI, Gemini CLI, or Codex-style agents. It emphasizes read-only agent steps, restricted outputs, and human review of pull requests.

AIIt's a lightweight model designed for fast, high-volume work like subagents, quick edits, and terminal tasks. ➡️ Our early testing showed that it matched Claude Sonnet 5 on many coding tasks while using significantly fewer tokens and steps. Try it out in the GitHub Copilot app, CLI, or @code.

AIOrange AI released "podcast-to-article," a free MIT-licensed open-source skill that reorganizes podcast transcripts by topic rather than speaker timeline. The author says it keeps every number and original quote while cutting off-topic tangents, and that early readership and engagement were good.

AIOpenAI is releasing a broad range of new mathematical results produced by an internal frontier model. The company says it consulted the independent Advisory Group on Mathematics and Artificial Intelligence at the Institute for Advanced Study and drew on its advice and public recommendations for how the results are released. The results are available at

AIThere are ~3x as many AI-generated PRs per month, than human-written ones at the end of 2023 (eg Dec 2023). Consider what all this means (we knew it would come, but it's now here)

AIGitHub Copilot code review can now be requested through the REST and GraphQL APIs, with an optional review effort level set per request. Balanced became the default review effort level for new and existing repositories and organizations as of September 28, 2026, while users who explicitly selected Lite keep that setting. The changes are generally available to Copilot Pro, Pro+, Max, Business, and Enterprise plans.

AIAI is changing developer work, and the article recommends three skills: directing AI agents, reviewing AI output instead of trusting the first answer, and using saved time for judgment-heavy problems such as customer needs and tradeoffs. It cites GitHub Copilot's built-in Rubber Duck agent, which uses a second model to critique plans, code, and tests. The author argues that developers remain responsible for outcomes while AI handles more implementation.

AI…them up and running! team will support more and more models in upcoming days

AIGitHub Copilot's weekly release adds Claude Sonnet 5.5 and GPT-6.1 Sol for specified plan tiers, plus HydraFusion, a research preview that lets Copilot select and coordinate models for a task. It also introduces dynamic workflows in public preview, which let users save and reuse multi-step processes, and computer use in public preview on macOS and Windows for automating desktop apps.

AIGive your repositories essential security hygiene with gh-secure from the GitHub Security Lab. ✅ Install and use it in the Copilot app, Copilot CLI, or GitHub CLI.

AIChoose it like any other model. Behind the scenes it routes your task across multiple models to draft, critique, revise, or escalate, then hands you one result.

AIThe next forge needs to understand how that code came to be. Humans and agents working together, with the context behind the code living right alongside it. Had a fun chat about all of this with @DevInterrupted. And yes, we got interrupted while our agents kept coding. 😆

AIUnsloth also reached #3 trending on GitHub! Thanks so much for the love! Model: GitHub:

AIInternVL-U is a lightweight 4B unified multimodal model that combines reasoning, generation, and editing in one framework, according to Intern Large Models. The post says it uses unified contextual modeling, modality-specific modular design, and decoupled visual representations to balance performance and efficiency. It reportedly outperforms unified baselines more than 3× its size on text rendering, scientific reasoning, and spatially grounded generation and editing, and is open-source on GitHub and Hugging Face.

AICognition introduced Devin Review, a free early-release code review tool that works on any public or private GitHub PR, with features for organizing diffs, chatting about changes, and flagging AI-detected bugs. The company says code review, not code generation, is now the bottleneck as coding agents increase the volume and size of pull requests.

AICognition is bringing back its Devin Open Source Initiative, offering $500 in Devin ACU credits to open-source GitHub projects with over 100 forks. Projects below that threshold will still be considered. Eligible projects must have an OSI-approved license and be actively maintained, and maintainers can apply through a linked form.