Step-by-step GitHub Copilot workflows from How I AI expert interviews. Each guide includes prompts, code snippets, and practical tips.
Learn how to automate your software development lifecycle, turning a simple Slack request into a fully implemented, tested, and QA-verified pull request in GitHub, reflecting a true software factory model.
A guide for solo entrepreneurs to manage business operations using AI. Learn how to source manufacturers, build and maintain an e-commerce site, and replace dashboards with voice commands, all without a human team.
Create a specialized AI agent to automatically investigate and triage bug reports from Sentry. This harness uses the Claude Agent SDK to gather evidence, identify root causes, and generate actionable engineering reports.
Set up a cloud-based 'software factory' where AI agents autonomously handle coding tasks assigned and managed through a Linear project board. This workflow turns you from a coder into an AI agent manager.
Use a Codex Automation to create a 'meta-agent' that analyzes your codebase, identifies opportunities for new reusable agent skills, and then spawns sub-agents to automatically test and validate those new skills.
Create an AI agent in Claude Code to automatically review aging pull requests, prompt your team for action via Slack, and even fix issues autonomously. This routine helps engineering teams ship code faster and reduce manual follow-up.
Extract the real colors, type, spacing, and components from your repositories into a portable HTML design system. Reuse the file as visual context for new interfaces and component variations.
Turn a spoken feature idea into a versioned Markdown spec, then let a coding agent implement and verify it. Future changes start in the spec, which records the behavior and its history.
With a background coding agent connected to Notion, turn a short task and screenshot into a GitHub pull request, live preview, test notes, and UI verification in about 20 minutes.
Have a Notion Custom Agent assemble the daily standup pre-read from recent Slack discussion, Notion tasks, GitHub pull requests, meeting notes, and Honeycomb metrics, then post the page to your team channel.
Run a daily Gardener over an Obsidian or Markdown knowledge base. It cleans up notes, researches unfamiliar people and companies, adds headings, and connects related ideas while preserving the substance of what you wrote.
Build an internal marketplace where employees post automation needs as Quests, find coworkers who want to build them, and share finished tools across the company. Add business impact, risk, and ownership so useful ideas can move without joining the main product roadmap.
Turn your repository's real preflight routine into a `/ship` skill. It checks the commit, runs the correct lint and build commands, pushes the branch, watches CI, fixes minor failures, and reports when the pull request is ready.
Turn a local prototype into a shareable pull request with one `/deploy` command that handles prerequisites, branch creation, checks, GitHub setup, and CI repair in a visible loop.
Wrap Figma extraction, implementation, and browser comparison in one `/figma` command so a teammate can paste a frame link and get a close first pass that corrects its own obvious misses.
Use v0 as a production branch workspace: import the real repository, build a bounded feature with production constraints, iterate against the running app, and hand engineers a reviewable PR and preview.
Use Spec Kit as a questioning partner for a substantial feature: write the first specification, answer the ambiguities it finds, and turn those decisions into requirements and acceptance criteria an implementation team can use.
Build a hiring thought partner that evaluates interview evidence against a job rubric, removes unnecessary personal data, and gives the interviewer a traceable recommendation and coaching without making the decision.
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