AI coding and developer tools guides
Start with one development task you can check yourself. This collection moves from connecting a coding tool to examining build evidence and reviewing pull request changes.
Pick the evidence your tool needs
Begin with the coding agent setup if you need a model connection. Choose the debugging guide when you have a specific failing build. For repeatable feedback on code changes, follow the pull request reviewer guide and keep a developer responsible for accepting the suggestions.
For developers adding AI to an existing development workflow. These guides use DigitalOcean Serverless Inference and include review steps before relying on generated output.
Set Up OpenCode with Serverless AI Inference
Connect a coding agent to a model endpoint and check that a small request works.
Install OpenCode, connect DigitalOcean Serverless Inference, verify a read-only request in a safe test project, then enable the provider in T3 Code.
Debug a Failing CI Build with AI, Safely
Use build output to investigate a failure and verify the proposed fix.
Capture the useful error, create a minimal reproduction, then use a serverless model to narrow the problem before you change code.
Build an AI Pull Request Reviewer with GitHub Actions and DigitalOcean
Turn a pull request diff into review feedback that a developer can accept or reject.
A beginner-first walkthrough for a bounded AI pull request reviewer: it reads a redacted diff, posts one advisory comment, and leaves every merge decision to people.
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