Built for developers who want full control
Iter started as a simple question: what if AI-assisted development didn't require sending your code to someone else's servers?
The story
AI code generation tools are powerful, but they come with tradeoffs: cloud dependencies, data privacy concerns, opaque processes, and limited control over the models and infrastructure.
Iter was built to eliminate those tradeoffs. It's a self-hosted platform that runs your own LLM models on your own hardware, with a structured pipeline that makes AI-generated code auditable, reviewable, and safe.
The multi-phase orchestration pipeline isn't just a wrapper around an LLM call. It's a complete development workflow with context-aware prompting, pre-execution safety reviews, isolated execution, post-execution verification, and automatic error recovery.
Every piece of generated code goes through safety gates. Every LLM interaction is logged. Every fix attempt is tracked. You always know what happened and why.
Design principles
Self-hosted first
Your code, your models, your infrastructure. Iter runs entirely on your network with zero cloud dependencies. Privacy isn't a feature - it's the architecture.
Developer-native
Built for developers who live in terminals and editors. MCP tools for integration, a dashboard for when you want it, and APIs for everything.
Quality over speed
Every AI-generated change goes through safety review, execution verification, and acceptance criteria checks. Fast code that's broken helps nobody.
Structured over clever
Grammar-constrained LLM output, typed step trees, structured evidence ledgers. Predictable systems beat magical ones.
Transparent operations
Full interaction history, event logs, evidence ledgers, and token tracking. You can always see what the AI did and why.
Practical automation
Auto-fix loops, operator auto-start, dependency-aware request ordering. Automate the tedious parts, keep humans in control of decisions.