Everything I'd send you, in one place

Project HydraFusion: Frontier quality via multi-model orchestration

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.

Reasons to Dislike AI Coding

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.

AI Coding Agents: Adoption Trends — JetBrains Research

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.

Antithesis Documentation

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.

Faster C++ code intelligence with whole codebase indexing

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.

Vibe Coding Has Become Doomcoding

Joe Procopio argues that "vibe coding"—letting AI write code without real understanding—is sliding into production disasters worth naming differently.

Why I recommend it: Inc. may show ads or meter premium articles; the link was accessible when it was added.

Astra for Coding: Why Are We Doing This Again?

Armin Ronacher's critical look at long-horizon AI coding models and what they change about software work.

Why I recommend it: A skeptical engineer's take, which is exactly what I look for when every other post is hype.

Surviving Code Reviews in the Era of AI

Lobsters community discussion among working engineers on keeping code review standards and human judgment intact as AI-generated code volume grows.

Why I recommend it: Read the comments as much as the post. This is what hiring managers on engineering teams are actually worried about right now.

Theo (t3.gg) on YouTube

Working developer breaking down web tooling, AI coding tools, and industry news in plain, opinionated terms.

Why I recommend it: Good signal for anyone learning to build: he explains tradeoffs, not just tutorials, which is what interviewers probe for.

10xn.dev

Developer-focused resource for building faster with AI coding tools and agent workflows.

Why I recommend it: Useful if you are building a technical portfolio — pair AI-assisted builds with a clear write-up of what you decided and why.