Show HN: Orbit – A harness that makes AI coding agents prove their work
Orbit is a new tool designed to enhance the reliability of AI coding agents by ensuring they can validate their work. It introduces structured loops and validation gates to prevent issues such as task drift and hallucination. With features like checkpoint resumability and full telemetry, Orbit aims to provide a comprehensive audit trail for coding tasks.
- ▪Orbit creates a structured orbit for each agent run, ensuring tasks are validated before completion.
- ▪The tool includes features like a dependency-aware task queue and a rubric evaluator for task scoring.
- ▪Orbit can work with various coding agents through an adapter-based system.
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- ▪ Harness Engineering: The Unglamorous Work That Makes AI Agents Work — DEV.to (Top)
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Opening excerpt (first ~120 words) tap to expand
🛸 Orbit Mission control for AI coding agents. Orbit is the harness your coding agent actually needs — structured loops, real validation gates, rubric-based evaluation, checkpoint resumability, and a full audit trail. Define the mission. Orbit lands it. ↑ Orbit detects a failing test, selects the right task, runs the agent, validates the fix, and marks the orbit complete — no hand-holding required. The problem with AI coding agents They drift. They hallucinate changes. They skip validation. They leave no record of what they did or why. You give them a task and cross your fingers.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.