Loop Engineering
Open-source interactive and visual agent experiences for code agent, task automation, tool use.
What does this agent do, and when should you use it?
The repository describes Loop Engineering as: Practical patterns, starters & CLI tools for loop engineering with AI coding agents. Design systems that prompt and orchestrate agents (inspired by Addy Osmani and Boris Cherny). Includes loop-audit, loop-init, loop-cost. This profile is a source-based catalog entry; an independent FARS review is still pending.
Practical patterns, starters & CLI tools for loop engineering with AI coding agents. Design systems that prompt and orchestrate agents (inspired by Addy Osmani and Boris Cherny). Includes loop-audit, loop-init, loop-cost.
- Prototype an interactive or visual agent experience.
- Study the repository's interface and simulation patterns.
- Adapt the starter project to a controlled experiment.
What are this agent's strengths and limitations?
- Public source and README are available for inspection.
- Focused on code agent, task automation, tool use.
- Setup, model-provider support, and maturity must be confirmed against the current release.
- No independent FARS score has been assigned yet.
How do you install or deploy this agent?
Follow the current installation instructions in the [repository README](https://github.com/cobusgreyling/loop-engineering#readme). Requirements and provider setup vary by release.
How do you use this agent?
Start with the examples and quickstart in the [repository documentation](https://github.com/cobusgreyling/loop-engineering#readme), then test the workflow with limited permissions and non-sensitive data.