Step-by-step GitHub Copilot workflows from How I AI expert interviews. Each guide includes prompts, code snippets, and practical tips.
Turn your team's standard operating procedure for shipping code into an executable AI skill. Automate running tests, fixing lint, pushing to the repo, and monitoring CI, saving significant engineering time and reducing friction.
Build a custom `/deploy` command that automates the entire Git process—from branching and committing to creating a pull request and monitoring CI checks. The AI can even fix its own CI failures.
Create an automated system that uses an AI agent to convert Figma designs into Next.js code. The agent then verifies its output against the original design and iteratively corrects its own mistakes.
Learn how to use Vercel's v0 to add new features to a live application. This workflow covers branching, prompting, iterating, and creating a pull request, all within the v0 interface, streamlining the entire development process from idea to production.
Use Spec Kit with an AI assistant like GitHub Copilot to improve the quality of your software specifications. The AI acts as an intelligent partner, analyzing your requirements and asking clarifying questions to help you identify edge cases and ambiguities before development begins.
Create an automated agent that analyzes interview transcripts against a job description and company values to provide an unbiased hiring recommendation. This system acts as a consistent thought partner to reduce bias and improve decision-making speed.
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