Have you tried GitHub Copilot coding agent? 🤖 It acts like a peer developer that runs independently in the background, handling the tasks that slow you down: 🐛 Bug fixes 🧪 Test coverage ♻️ Refactoring It takes you from Issue ➡️ PR while you focus on the code that interests you most. Here's how to get started with agentic workflows. 🚀 github.blog/ai-and-ml/gith…

@github I use it often for my personal projects. Quite handy.

@github Use it daily but would like the ability to specify which model does the work otherwise we end up with this: x.com/abez95/status/…

@github 🧰🧰🧰

@github 🚀🚀🚀

@github, the interesting shift isn’t that Copilot writes more code. It’s that it owns the boring middle. Going from issue to PR means the agent has to understand intent, touch multiple files, run tests, and recover when things fail. That’s not autocomplete. That’s workflow responsibility. Once agents can safely handle bug fixes, refactors, and test gaps in the background, developer time gets spent on decisions, not cleanup. This is how AI becomes part of the team, not just a tool. We break down these agentic shifts and what actually makes them work in practice at @techificial.

@github Guys I have a support ticket you haven't responded to for more than a week now.

@github Yes

@github It really works

@github Agentic workflows just got so much easier

@github refactoring? haha! it's all timeout, timeout, timeout... then usage 100%

@github Useless without a plan mode

@github AI agents handling boilerplate code frees developers for higher-level problem solving work