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.
Write a task for the bug fix or feature. Include a clear description, note any related issues, anticipate edge cases, and add annotated screenshots to show exactly what needs to change.
In the comments section of the Notion task, @mention your custom coding agent (e.g., @Codex). This action serves as the trigger to kick off the automated workflow.
@CodexThe agent is triggered, spins up a virtual environment with the codebase, and reads the entire Notion task, including comments and screenshots, to understand the requirements.
In approximately 20 minutes, the agent generates the code, tests its own work, and comments back on the original Notion task with two links: one to a completed pull request on GitHub and another to a live preview environment.
Review the AI-generated code. If you have questions or need a change, comment directly on the GitHub PR. The agent will then explain its reasoning or make the requested fixes.
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.
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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