$ git commit -a

Stop Vibing.
Start Shipping.

Multi-agent orchestration for complex engineering. So you ship code that’s scalable, maintainable, tested, and secure.

<! -- Quality and Speed -->

No More AI Slop

Execute 80% of the lift with Orchestrator and build on top of a code base that stays solid, readable, tested, and secure.

Orchestrator is built for production not for demos.For teams shipping production systems under real constraints: messy legacy code, tight deadlines, changing requirements, and high standards for security.

BYO keysBring your own model API keys. Your code and context never leave your infrastructure or get mixed into anyone else's training data.

Model-agnosticWorks with Anthropic, OpenAI, and open-weight models. Swap models per agent or per task without rewriting workflows.

Spin up 20 specialized agents for one complex engineering task.

Orchestrator runs governed, specialized agents in parallel, keeps durable context, and applies adversarial checks to catch drift early.

Specialized agents for a complex engineering task

Self pruning context memory

Helps the model remove unhelpful context faster. If it sees the same problem repeatedly, it adds it to memory without asking. Not all memory is equal.

Adversarial governance

Keeps every agent inside an established rule system - preventing deadlocks, stopping loops, and catching drift early.

Blazing fast inter agent communication

Improve token efficiency and reduce wall time. Responsive agent communication feels good, too. Avoid compounding inefficiencies.

Proactive multi agent orchestration.

Specialized agents handle every stage of the work. Coordinators keep execution moving. Auditors verify coverage and contracts. Reviewers validate behavior and correctness. So you can ship safely at scale.

Automatic skill creation with Meta Observer

Your agents get better the more they work. When the system sees the same fix twice, it promotes it into a reusable skill the whole team can call.

Increase Token Efficiency

Catch bugs before they reach your codebase, so tokens are not wasted re-running broken tasks or debugging AI-generated regressions.

Built in review gates

Dedicated reviewer agents validate behavior and correctness before work lands. No single pass of AI generated code ships without a second set of eyes.

ORCHESTRATOR AI

[/]"Feels like an early glimpse into a new standard for working with agents. A harness that facilitates all phases of planning, coding, and validating while watching an extremely tight self-reflexive feedback loop is very confidence boosting."[ Max Shick ]

git push --use cases.

Built for real world engineering tasks

Product Features

Ship multi-file features end to end, with planners, coders, and reviewers working in parallel.

Legacy Modernization

Rewrite aging systems incrementally, with tests generated from existing behavior.

API Integrations

Wire services together with typed clients and coverage for pagination, retries, and auth.

Data Migration / ETL

Migrate schemas and pipelines with row counts and type coercions verified.

Major Codebase refactors

Rip out brittle modules incrementally, with call sites traced and tests generated first.

Complex Spec driven development

Break long specs into parallel work, reconciled through review.

<! -- Behind the scenes --> Let Orchestrator Guide YouShip reliable code, confidently.

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Use Cases

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The complex engineering work other AI tools stall on: multi file feature builds, legacy rewrites, API integrations, data migrations, and spec driven development.

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Founding Team

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How is this Different

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Pricing

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Design Partners

//G2i -- OS --

[ _> ] Let us help you fight AI slop and orchestrate your way to reliable code git commit -m “join the waitlist” [/]

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