October 27, 2025

Read Time: ~3 minutes

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<aside> 📎 Originally presented at LeadDev in partnership with Augment Code

At Tilt (formerly Empower Finance), code reviews are critical to maintaining quality across our fintech platform. But like many engineering teams, we faced a familiar challenge: reviews were time-consuming, feedback was sometimes inconsistent, and engineers spent valuable time on repetitive review tasks that could easily be automated.

That's why we built a context-aware review bot using Augment Code, the results have been transformative.

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https://open.spotify.com/episode/0Vonb3ZXIPpRdkmcYLeSf7?si=7e639f5798f446f3

The Challenge

Our engineering team needed a solution that could:

Understand our specific codebase patterns and conventions
Provide consistent, high-quality feedback on pull requests
Free engineers to focus on architectural decisions rather than style nitpicks
Maintain high standards for code quality without slowing down velocity

Enter Augment Code

We chose Augment Code for its industry-leading context engine. Unlike other AI coding assistants, Augment doesn’t just look at individual files, it understands your entire codebase, your team’s conventions, and your architectural patterns.

Building the Review Bot

In my recent presentation with LeadDev, I walked through exactly how we built this system. The key was leveraging Augment’s deep codebase understanding to create a bot that doesn’t just check syntax, it understands our code.