AI Open Source & Tools

Rethinking open source mentorship in the AI era

As contribution volume grows, mentorship signals are harder to read. The 3 Cs framework helps maintainers mentor more strategically... without burning out. The post Rethinking open source mentorship…

How Squad runs coordinated AI agents inside your repository

An inside look at repository-native orchestration with GitHub Copilot and the design patterns behind multi-agent workflows that stay inspectable, predictable, and collaborative. The post How Squad…

State of Open Source on Hugging Face: Spring 2026

 Investing in the people shaping open source and securing the future together

See how GitHub is investing in open source security funding maintainers, partnering with Alpha-Omega, and expanding access to help reduce burden and strengthen software supply chains. The post…

Introducing GPT-5.4 mini and nano

GPT-5.4 mini and nano are smaller, faster versions of GPT-5.4 optimized for coding, tool use, multimodal reasoning, and high-volume API and sub-agent workloads.

Why Codex Security Doesn’t Include a SAST Report

A deep dive into why Codex Security doesn’t rely on traditional SAST, instead using AI-driven constraint reasoning and validation to find real vulnerabilities with fewer false positives.

Continuous AI for accessibility: How GitHub transforms feedback into inclusion

AI automates triage for accessibility feedback, allowing us to focus on fixing barriers—turning a chaotic backlog into continuous, rapid resolutions. The post Continuous AI for accessibility: How…

GitHub availability report: February 2026

In February, we experienced six incidents that resulted in degraded performance across GitHub services. The post GitHub availability report: February 2026 appeared first on The GitHub Blog.

Addressing GitHub’s recent availability issues

GitHub recently experienced several availability incidents. We understand the impact these outages have on our customers and are sharing details on the stabilization work we’re prioritizing right now.…

From model to agent: Equipping the Responses API with a computer environment

How OpenAI built an agent runtime using the Responses API, shell tool, and hosted containers to run secure, scalable agents with files, tools, and state.