A GitHub blog post describing Project HydraFusion, a research preview in GitHub Copilot that orchestrates multiple AI models for coding workflows. According to the post, in controlled offline evaluations HydraFusion's selective coding workflows matched or exceeded the evaluated Opus 5 baseline while reducing estimated workflow cost. Published September 4, 2026.
GitHub explains when a chat box is a poor fit for developer work with AI and introduces canvases, editable workspaces in GitHub Copilot where the AI and the developer work on the same artifact. Written by GitHub about its own product.
GitHub changelog entry, 22 September 2026: GitHub Copilot CLI now builds a persistent symbol index across a whole C++ project via the Microsoft C++ Language Server, so jumping to definitions and references stops re-discovering the project each time. On by default; the first index build costs extra time and memory, and can be turned off.
Why I recommend it: Free to read and filed as a primary source, not a review. The speed benefit is GitHub's own claim with no published measurement; Copilot itself needs a paid or sponsored plan beyond its free tier.
Blog post by software consultant Graham Lee (Structure and Interpretation of Computer Programmers), published October 6, 2026. It lists common objections to AI-generated code — code as art, AI as a job thief, software engineering as a set of rules, and AI companies as bad actors — and argues against each from the author's point of view, including a section on how programming jobs relate to automation.
An open-source agent skill on GitHub by nicobailon that generates rich HTML pages or slide decks for diagrams, diff reviews, plan audits, data tables, and project recaps.
Findings from JetBrains' Developer Ecosystem Survey 2026 of more than 15,000 professional developers: 90% used AI coding agents at work at least weekly as of mid-2026, and 68% used them daily. The report tracks how agents are carving out a place in developers' toolkits.
The documentation for Antithesis, an autonomous testing platform that continuously explores a simulated copy of a software system to find bugs. The docs cover setup with Docker Compose or Kubernetes, writing test templates, fault injection, the "multiverse" view of execution branches, and using Antithesis alongside AI coding tools.
Essay arguing that software architecture is about making good decisions easier on a timeframe you can reason about — startups, banks, open source projects and large companies each face different time horizons and constraints, and many architecture disagreements are really disagreements about what timeframe is reasonable.