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zeroshot
by the-open-engine
CLI-driven autonomous engineering team for end-to-end issue-to-PR automation
JavaScript
Updated Jul 18, 2026
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How It Works
Automates software development by running an autonomous engineering team from the CLI. Points an ensemble of LLM-driven agents at an issue and coordinates planning, coding, testing, and PR creation. Supports multiple LLM runtimes (Claude, OpenAI Codex, Gemini) and GitHub integration for end-to-end delivery. The system acts as an autonomous engineering team to drive development workflows from the command line.
The Value Proposition
As agents become responsible for real development work, reproducible coordination and clear handoffs are essential for trust. Zeroshot provides a repeatable CLI workflow so teams can observe how agents plan, act, and produce code — a prerequisite for measuring agent track record and spotting failure modes. While it doesn't replace dedicated reputation systems, it creates consistent runs you can instrument for agent-to-agent evaluation and continuous assessment.
When to Use
Developer teams who want to automate issue resolution and generate production-ready PRs using configurable, multi-LLM agent workflows. Consider leveraging multi-LLM agent workflows to orchestrate complex collaboration.
How It's Used
- Automating issue triage and patch generation from a CLI for faster developer workflows
- Running repeatable agent runs you can log and instrument to collect performance data
- Generating and submitting PRs across repositories using multiple LLM backends
Works With
openaiclaudegeminigithub
Topics
agent-orchestrationagentic-workflowai-agentai-agentsautonomous-agentsclaudeclicodexcoding-assistantdeveloper-tools+8 more
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Keywords
multi-agent orchestrationagent delegationgithub-automationagent reliability