YYLO CLI and YYLO Ledger: A Git-Native Workflow for AI-Assisted Software Development

https://yylo.dev/projects/yylo" title="YYLO CLI (opens in new tab)">YYLO CLI (https://github.com/yylo-dev/yylo" title="GitHub (opens in new tab)">GitHub) and https://yylo.dev/projects/yylo-ledger" title="YYLO Ledger (opens in new tab)">YYLO Ledger (https://github.com/yylo-dev/yylo-ledger" title="GitHub (opens in new tab)">GitHub) address those needs as two independent, open-source developer tools. YYLO CLI orchestrates coding agents and software-delivery workflows. YYLO Ledger provides Git-native task management and structured engineering records. They can be installed and used separately, but together they create a practical foundation for task-driven AI-assisted development.

Why AI Coding Workflows Need More Than a Prompt

A successful AI coding session usually crosses several boundaries:

1. Someone defines the intended outcome.

2. The agent inspects the repository and changes files.

3. Tests or other checks validate the change.

4. The implementation is committed.

5. The result is reviewed and integrated.

6. Future developers need to understand what happened.

YYLO CLI and YYLO Ledger separate these concerns instead of hiding them. Ledger owns task and Record truth. YYLO CLI owns coding-agent execution and task, validation, merge, and release-readiness orchestration. This division is useful because task records remain valuable even when no AI agent is involved, while agent orchestration can also be used for repository analysis that does not require a task board.

Core YYLO CLI Features

Multi-agent orchestration

YYLO provides one command-line workflow for supported coding agents, including Claude Code, Codex, Gemini, and Pi. Developers can select an agent and model while preserving a consistent surrounding process. Project-level model shortcuts can make team defaults easier to reuse.

Where YYLO Benchmark Fits

The third project in the ecosystem is https://yylo.dev/projects/yylo-benchmark" title="YYLO Benchmark (opens in new tab)">YYLO Benchmark (https://github.com/yylo-dev/yylo-benchmark" title="GitHub (opens in new tab)">GitHub). Benchmark focuses on coding-agent evaluation and evidence rather than task storage or day-to-day orchestration. It supports validated cases, immutable plans, isolated attempts, governed grading, reconciliation, recovery, and bounded reports.