Create a fully autonomous software development pipeline using AI agents. This workflow takes you from collaborative task generation, through automated code building and reviewing, to one-click deployment via a Slack emoji.
Start your day by collaborating with an AI in Claude. Use a simple prompt to kick off a conversation about what to build next for your application.
morning buildIn Claude Code, set up two separate, continuously running agent loops. The 'Build Loop' takes the task list and writes the code for features, while the 'Review Loop' picks up completed tasks, reviews the code, and makes corrections.
Once a feature is built and reviewed by the AI agents, configure the system to send a notification to a designated Slack channel. The message must include a link to a preview deployment on a service like Vercel for testing.
Click the Vercel link from the Slack message to test the new feature in a live, sandboxed environment. Verify that it works as expected.
If the feature is ready to ship, simply react to the Slack message containing the preview link with a 🚀 emoji. This action will serve as the trigger for the final step.
Set up a final agent that monitors the Slack channel for the 🚀 emoji reaction. When it detects the emoji on an approval message, it automatically merges the code into the main branch and deploys the feature.
Build your own local AI hardware setup by choosing the right machines (Mac, DGX, custom PC) and connecting them with Tailscale and an AI agent like OpenClaw for automated model deployment across your network.
Implement a 24/7 security scanning system where a local AI model continuously scans your codebase for issues, and a powerful cloud model periodically reviews and validates the findings for a cost-effective solution.
Use an AI tool with browser control capabilities to automate repetitive tasks like managing your LinkedIn inbox. Set clear criteria to have the AI read and reply to high-value messages on your behalf.
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