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.
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.
sixth post in the series: adding threshold detection and SNS email alerts so meaningful indicator crossings surface without having to check the dashboard.
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.
fourth post in the series: replacing ETF proxies with direct data sources, investigating free alternatives, and fixing a BoC query bug hiding three months of bond yield data.
third post in the series: moving all data fetching out of the browser and into AWS Lambda.