# AI Code Reviews & Optimization

> We review AI-generated projects with a focus on simplicity and long-term sustainability.

Teams bring us in when generated code has shipped quickly but feels expensive to maintain, hard to trust, or too complex to keep scaling.

HTML version: https://bowtie.co/ai-code-review/

## Capabilities


- Remove unnecessary complexity

- Identify security vulnerabilities

- Reduce token and context usage

- Improve architecture and organization

- Eliminate duplicate functionality

- Make future AI-assisted development faster and cheaper


## Use cases


- Audit generated code before it becomes long-term technical debt

- Simplify architecture so future AI-assisted work costs less

- Reduce duplication, security risk, and brittle abstractions

- Create a practical cleanup roadmap your team can execute


## Outcomes


- Actionable findings instead of vague recommendations

- Lower maintenance cost and better delivery velocity

- Clearer architecture for humans and AI tools alike



## FAQ


### Will you only point out problems, or can you fix them too?

Both. We can deliver an audit, a prioritized cleanup plan, and implementation help where it makes sense.


### Do AI code reviews help if the product already works?

Yes. Working software can still be fragile, expensive, or risky to extend. We focus on long-term maintainability and delivery cost.


### Can you review just one critical workflow?

Yes. We can scope narrowly around a checkout flow, internal automation, API surface, or another high-risk area.


### What do you typically look for first?

Complexity, security gaps, duplicated logic, unclear ownership boundaries, and spots where AI-generated code will slow future changes.




## Related

- [All services](https://bowtie.co/services/index.html.md)
- [Contact Bowtie](https://bowtie.co/contact/index.html.md)
- [llms.txt](https://bowtie.co/llms.txt)