Shift from writing implementation code to writing human-readable specifications. Write a detailed spec in a markdown file, and let an AI agent handle the entire process of coding, testing, and verification, using the spec as the single source of truth.
Use a tool like Whisper to perform a 'brain dump' and dictate the functionality of a new feature. This raw transcript serves as the source material for the spec.
Feed the raw transcript to a language model like Codex, providing it with examples of existing specs from your library to learn the format. Prompt it to write a formal spec.
Here's our other like spec library. Learn the format, take my information, write a spec.After refining the AI-generated spec, check the final markdown file (e.g., feature_name.md) into a dedicated /agent-specs/ folder in your GitHub repository. This file is now the source of truth.
Point your coding agent at the new spec file in the repository and give it a simple command to start the implementation process.
Build it.The agent writes the required code and uses a detailed Verification section within the spec, along with a custom CLI tool, to continuously test its own work against the defined behavior.
For any future updates or changes to the feature, modify the human-readable markdown spec file, not the code itself. The agent will then automatically update the implementation based on the revised spec.
Implement bug fixes and small features rapidly by creating a detailed task in Notion and @mentioning a coding agent. The agent reads the task, writes the code, and submits a complete pull request with a live preview link, drastically reducing friction.
Save 20+ minutes daily by creating a custom Notion agent that automatically gathers updates from Slack, GitHub, and Honeycomb to generate a comprehensive standup pre-read document. This keeps your team aligned and focused on problem-solving, not reporting.
Create or use an automated script that runs daily on your personal knowledge base (like Obsidian) to fix typos, enrich notes with research, create structure, and cross-link related ideas.
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