Beyond code generation: What if your AI actually understood your codebase?
Picture this: You're tasked with adding error handling to a payment processing service. Simple enough, right? But in a real enterprise codebase, this means understanding how errors propagate through multiple microservices, what the logging standards are, how retries are handled, and how this all fits into your existing monitoring system.
This is real software development. Most coding AI tools are great at writing a new function from scratch. But that's not what professional developers spend most of their time doing.
The real challenges are:
- Figuring out why the authentication service sometimes times out for European users
- Adding a new field to a data model that's used across 20 different services
- Modernizing a critical service from Python 2 to 3 without breaking anything
- Understanding why a seemingly simple UI change requires backend updates in three different places
Watch Augment in Action
Here's what it looks like when AI truly understands your codebase. Watch as Augment gets up to speed on complex projects quickly, refactors server-side code, writes new functionality and unit tests and maintains consistency with existing patterns—all while moving at the speed of thought:
Deep Context Awareness: The Key Differentiator
Augment is built for the reality of professional software development - understanding and working with complex existing systems. Augment’s deep context understanding processes your full codebase in real-time, understanding relationships between components and adapting to your team's patterns. When you're debugging a production issue or adding a feature that touches multiple services, Augment already knows about your architecture, testing patterns, and existing implementations.
The difference shows in real developer workflows:
- Instead of suggesting generic error handling, Augment matches your existing patterns
- Instead of requiring you to explain your architecture, it already understands your service boundaries
- Instead of working file-by-file, it helps coordinate changes across your entire stack
- Instead of continually suggesting the same hallucinated code, it learns from developer behavior and natural coding patterns to get smarter over time
- Instead of slowing down in large codebases, it maintains sub-220ms response times even with millions of lines of code
Ready to try Augment?
For professional teams: Experience the difference context makes. Sign up for a free trial and give us your largest repos and most complex code to see what we can do.
For open source developers: Augment is free for open source projects. Break down contribution barriers with AI that understands project context and helps you make quality PRs.