GitHub AES: the work after the agent finishes
Faster agents can leave slower handoffs. A practical take on GitHub AES: review capacity, enforced stopping points, and evidence from production.
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Faster agents can leave slower handoffs. A practical take on GitHub AES: review capacity, enforced stopping points, and evidence from production.
The difference between AGENTS.md and .agent.md, how GitHub Copilot uses both, and when to write repo instructions versus a custom agent persona.
Why GitHub Copilot skills live in plural folders but singular SKILL.md files, how they load, and when supporting files are pulled in on demand.
Single-agent, agent-with-tools, or multi-agent? The same feature through all three setups, the failure modes to watch for, and a decision matrix you can actually use.
Spec-Kit's extension system turns a structured spec-driven workflow into something you can customize end-to-end. Here's how extensions work, which ones are worth looking at, and a hands-on walkthrough of the Ralph Loop extension for autonomous implementation.
From vague prompts to reliable results: practical frameworks and mental models for working with LLMs, covering the 5 Principles, few-shot learning, Chain of Thought, RAG, context engineering, and how agents change everything.
Part 4 of our series on mastering AI-assisted development. Learn how teams collaborate with Spec-Kit, integrate with CI/CD pipelines (GitHub Actions & Azure DevOps), and apply advanced architectural patterns.