Turn this into your daily workflow.
Find the repo by what it does, not what it's called.
You know the service exists -- the one handling webhook retries -- but not which of forty repos it lives in. You search GitHub by half-remembered names, open three wrong ones, and lose ten minutes before you've read a line of code. Littlebird's already watching what you're working on, so it usually knows which codebase you mean.
Connect GitHub and it searches your repositories -- by name, topic, or keyword -- and surfaces the right one.
Connect GitHub and Littlebird can search your GitHub repositories by name, topic, or keyword, so "which repo handles webhook retries?" comes back with the repo itself -- not a list of forty you have to scan. Ask in plain language; it finds the one you meant.
Littlebird can search your GitHub repositories by name, topic, or keyword without switching to GitHub, so you find a repo by what you remember about it rather than its exact name.
Once you've found it, Littlebird can search code across your repositories and read the contents of any file, so you go from "which repo?" to the actual function in one thread -- no clone, no tab-switching.
Because Littlebird sees your active window, it connects the repo you're hunting for to the error or task on your screen -- so the search starts from context, not a blank box. The full set of what Littlebird does across GitHub is on the GitHub integration page.
Ask for the repo. Open the right one.
Littlebird starts working on its own by paying attention to your active window, so you get value the moment you install it. But searching your repositories needs GitHub connected -- it takes a few seconds in Settings > Integrations.
No. Littlebird never trains models on your data and never sells it. Your data is encrypted at rest and in transit, and you can delete it at any time.
Connect GitHub in Settings > Integrations, then ask for the repo you're looking for. See everything Littlebird does with GitHub on the GitHub integration page.
Turn this into your daily workflow.
