Engineering
Engineering notes, architecture decisions, and build logs from the team at Ode.
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There is no such thing as a backend demo: why we build custom UIs for evals
How we build evals for document extraction
Stop designing chatbots
Artifact-driven AI creation
If I could turn back time
Your evals have a Rotten Tomatoes problem
The Virtues of Showing Your Work: Do LLM Explanations Actually Help?
Do what I mean
Using historical codebase to build an eval suite
Fine Tuning Quirk
Insisting On Known Knowns: Using Evaluators to Drive Reliability
Customizing Cursor's code generation and personality