Coding-Agents

Microsoft quietly shipped one of the more significant quality-of-life updates for AI-assisted development in VS Code 1.112, released today. The headline feature: a three-tier agent permission system that ranges from cautious confirmation-heavy mode all the way to full Autopilot — where the agent runs without asking for approval and automatically handles retries and responses. This isn’t just a UI preference. It’s a formal architecture for how humans and coding agents share control, and it finally gives developers explicit language and tooling to choose their level of trust in the agent at the workspace or global level. ...

If you’ve ever watched an AI coding agent ignore your project’s conventions — using the wrong naming scheme, adding unnecessary dependencies, writing tests that don’t match your test runner — there’s a simple fix that most developers haven’t heard of yet. It’s called AGENTS.md, and it’s now natively supported by over 25 AI coding tools. What Is AGENTS.md? AGENTS.md is a plain Markdown file you place in the root of your project repository. AI coding agents read it automatically when they start working in your codebase. It tells them everything they need to know about your project’s specific conventions, constraints, and preferences — before they write a single line of code. ...

If you’ve used GitHub Copilot, Claude Code, Cursor, or OpenAI Codex and wondered what’s actually happening under the hood when the agent “thinks,” plans a multi-step fix, and edits three files at once — Simon Willison just published the definitive practitioner answer. Willison’s new chapter of Agentic Engineering Patterns — titled “How Coding Agents Work” — is the clearest technical breakdown yet of what separates a coding agent from a coding assistant, and why that distinction matters enormously for how you use and build with these tools. ...

OpenAI published something unusual in early March 2026: a framework that isn’t a model wrapper, a chat interface, or a prompt toolkit. Symphony is an open-source orchestration layer for autonomous coding agents — and it’s built in Elixir, a language choice that says something specific about what the framework is designed to do. What Symphony Does Symphony connects issue trackers to LLM-based coding agents through what it calls implementation runs — structured, stateful execution processes that transform a project task into an automated sequence of code changes. ...

One of the most frustrating things about working with AI coding assistants has been their goldfish memory. You fix a subtle bug on Monday, explain to the agent exactly why the naive implementation doesn’t work, and by Tuesday you’re explaining it again from scratch. Session starts, context resets, you start over. Anthropic just shipped a fix for that. Claude Code now has auto-memory: it automatically creates and maintains a MEMORY.md file in your project, tracking debugging patterns, project-specific context, and your preferred working methods — across sessions, without any manual setup required. ...

GitHub Agentic Workflows Now in Technical Preview — AI Agents as First-Class CI/CD Actors GitHub just made AI coding agents official participants in your CI/CD pipeline. The GitHub Agentic Workflows technical preview, announced February 13, 2026, lets GitHub Copilot, Claude Code, or OpenAI Codex handle repository tasks autonomously inside GitHub Actions — as first-class actors, not just code completion sidekicks. This is GitHub’s “Continuous AI” vision made real. And it’s already in your hands to try. ...