Hey everyone,
I’m thinking about making a tool that puts your Git codebase into Airtable. Each file would be a row with info like where it is, its name, and commit details.
Once it’s in Airtable, you could do cool stuff:
- Use formulas and filters
- Run AI checks on your code
- Plan big changes
- Keep track of what files are affected by updates
- Do audits or make docs
- See your code in new ways
- Set up alerts when certain files change
I’m testing it out for myself right now. But I want to know if anyone else would find this helpful. Could it solve a problem for you or your team?
Let me know what you think! Is this something you’d use?
I’ve actually been using something similar in my day job, and it’s been a game-changer for our team. We’ve got a massive legacy codebase, and this kind of tool has helped us get a handle on it. The ability to run custom queries and set up automated checks has caught several potential issues before they became problems in production.
One thing I’d suggest considering is version control for the Airtable data itself. We ran into some challenges when multiple team members were updating the same records simultaneously. Also, make sure you’ve got a solid error handling system in place. Git can throw some curveballs, especially with large repos or complex branching strategies.
If you do build this, I’d be really interested in seeing how it handles things like code duplication detection or tracking changes in code complexity over time. Those are areas where we’ve found a lot of value.
sounds interesting! i’ve been looking for ways to analyze our codebase better. how would this handle large repos tho? worried about performance and keeping it synced. also, any plans for integrating with other project management tools? might be cool to link code changes directly to tasks.
As someone who’s managed large-scale projects, I can see the potential in this tool. The ability to visualize and analyze our codebase in Airtable could streamline our review processes significantly. One aspect I’m particularly interested in is how it might help with technical debt management. We often struggle to prioritize refactoring tasks, and having a clear overview of file ages, modification frequencies, and complexity metrics could be invaluable.
Have you considered incorporating any code quality metrics into the sync process? Something like cyclomatic complexity or maintainability index could add another layer of insight. Also, I’d be curious about the performance impact on our CI/CD pipeline if we were to integrate this. Nonetheless, it’s an intriguing concept that could potentially transform how we approach code management and analysis.