fourth post in the training tracker series: turning the AI coach spec into a running endpoint, the bugs that only showed up once something real was talking to it, a security gap closed before a second user existed, and a chat UI to finally use the thing.
third post in the training tracker series: migrating the data model from single-user to multi-tenant before the second user exists, and writing the specs for an AI coach before writing a line of its code.
first post in the training tracker series: provisioning the AWS infrastructure, designing the data model, and seeding 105 days of plan data into DynamoDB.
A personal habit tracker built around a 15-week run/walk training plan — and a vehicle to learn DynamoDB, Lambda, Cognito, and the Claude API by building something I open every day.
fifth post in the series: adding a DynamoDB snapshot store so the dashboard can display 3-month and 6-month sparklines alongside the existing 30-day view.