Why We Built Cheetah: The AI Coding Assistant That Actually Gets It
The story behind Cheetah and how we're solving real developer pain points with AI that understands context, not just syntax.
Yash Budhia
Co-founder at Cheetah AI
Why We Built Cheetah: The AI Coding Assistant That Actually Gets It
After years of building software and managing development teams, we noticed a pattern: developers were drowning in context switching, struggling with unfamiliar codebases, and spending hours on tasks that should take minutes. Existing AI tools offered autocomplete, but they didn't understand the bigger picture.
That's why we built Cheetah.
The Problem With Current AI Coding Tools
Most AI coding assistants treat code like isolated snippets. They excel at:
- Completing the next line
- Generating boilerplate
- Answering generic "how-to" questions
But they fail when you need to:
- Understand how multiple files relate to each other
- Debug complex issues across your entire codebase
- Refactor while maintaining consistency
- Navigate legacy code without documentation
How Cheetah Is Different
1. Deep Codebase Understanding
Cheetah doesn't just read files—it understands your project architecture. It knows:
- How your components interact
- Where business logic lives
- Which patterns your team follows
- Dependencies between modules
This means better suggestions, fewer bugs, and faster onboarding.
2. Context-Aware Conversations
Instead of one-off completions, Cheetah engages in multi-turn conversations about your code. Ask questions like:
- "Where should I add authentication middleware?"
- "Why is this component re-rendering?"
- "How do I refactor this without breaking tests?"
3. Real-Time Codebase Analysis
Cheetah continuously analyzes your codebase to:
- Identify potential bugs before they ship
- Suggest performance improvements
- Maintain coding standards
- Detect security vulnerabilities
Built for Real Development Workflows
We designed Cheetah for how developers actually work:
No Configuration Needed: Plug and play. Cheetah automatically detects your tech stack, coding style, and project structure.
IDE Integration: Works seamlessly in your existing environment—no need to switch contexts or learn new tools.
Team Collaboration: Share context and insights across your team. When one developer solves a problem, everyone benefits.
The Results Speak for Themselves
Developers using Cheetah report:
- 50% faster feature development
- 70% reduction in debugging time
- 90% faster onboarding for new team members
But more importantly, they report feeling less frustrated and more productive.
What's Next
We're constantly improving Cheetah based on real developer feedback. Upcoming features include:
- Advanced refactoring assistance
- Automated test generation
- Custom team knowledge bases
- Integration with popular dev tools
Join Us
Cheetah isn't just a tool—it's a movement toward more intelligent, efficient software development. We're building something developers actually want to use, not just another AI gimmick.
Try Cheetah today and experience development the way it should be.
Why Every Startup Needs an AI Coding Assistant in 2025
The True Cost of Technical Debt (And How AI Helps You Avoid It)
Cheetah's Plug & Play Philosophy: Why Configuration Sucks
The Hidden Cost of Context Switching (And How Cheetah Eliminates It)
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Co-founder at Cheetah AI
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