Tools, guides, and hands-on learning to help you understand an idea and put it to work. Project overviews include sources; illustrative starter articles carry a sample label. They are not research findings or member testimonials.
MonoX: a foundation for AI agents, a clearer path to delivery
An open-source foundation connecting repository structure, agent context, and deployment contracts. What to try today, and what still needs checking.
Built something? Share a project people can learn from
A project post template connecting the problem, decisions, demonstration, and a question for the community.
Where does the developer day actually get stuck?
A simple way to map friction before deciding another tool is the answer.
From request to verification: a repeatable AI workflow
Five steps connecting context, a small change, verification, and a clear report.
Evaluate an AI tool on your task, beyond the demo
A small evaluation framework covering result quality, review time, and the work left for you.
What an agent needs to know before changing your repository
Write short, actionable repository instructions without duplicating the entire documentation.
Code in seconds. What should you check before merging?
A checklist for reviewing an AI-assisted change: behavior, boundaries, tests, and a way back.