Work2025ai tooling, completed

CodeLens

An AI-assisted code review platform with a tested FastAPI backend and a React and TypeScript interface.

Role
Full-stack engineer
Evidence
A working review flow with authenticated APIs, persisted analysis, provider fallback behavior, automated tests, and CI.
Built with
Python, FastAPI, React, TypeScript, SQLAlchemy
Source

Problem

AI code review is easy to demo as a prompt and harder to shape into an accountable product workflow with authentication, persistence, failure handling, and inspectable results.

Approach

CodeLens combines a FastAPI service, JWT authentication, SQLAlchemy persistence, a React and TypeScript client, and an LLM provider layer with fallback behavior. The repository includes backend tests and continuous integration.

Outcome

The project demonstrates the surrounding product system required to make an AI-assisted workflow usable, rather than presenting model output as the whole application.

Claims on this page are limited to work I owned and outcomes I can defend. Private systems are described without proprietary implementation details.

Next on the sheet

2024

DRT Research Platform

Graduate researcher and platform engineer