EchoDM
A Bilibili content creator focused on AI Agent design and technical practice sharing, who discusses Agent design principles by replicating the GitHub Copilot automatic pull request generation feature.
Timeline (last 90 days)
Bilibili creator EchoDM replicated GitHub Copilot's automatic bug-fixing feature; the project is a GitHub plugin that, once installed, automatically generates a PR when a user submits an issue.
The project's automatic bug-fixing workflow runs on GitHub Actions, with the script split into four steps: authorization and task parsing, working branch preparation, Agent modification and verification, and PR publishing.
In the demo, all five issues (the first four implementing different sorting algorithms, and the last converting the project into a command-line tool) successfully triggered automatic PR generation.
The project architecture decouples task understanding, environment preparation, code modification, verification feedback and result delivery, embodying the design principle of letting the model focus on decisions and leaving deterministic operations to code.
Three types of tools are designed in the project: code search tools, code modification tools and code verification tools, corresponding respectively to the loop of perception, action and verification.
An Agent system can be broken down into three parts: the user, the model, and hard-coded rules (the Harness), with the Harness responsible for deterministic tasks such as permission validation, error handling and resource management.
All Facts (6)
Bilibili creator EchoDM replicated GitHub Copilot's automatic bug-fixing feature; the project is a GitHub plugin that, once installed, automatically generates a PR when a user submits an issue.
50%UnverifiedThe project's automatic bug-fixing workflow runs on GitHub Actions, with the script split into four steps: authorization and task parsing, working branch preparation, Agent modification and verification, and PR publishing.
50%UnverifiedThe project architecture decouples task understanding, environment preparation, code modification, verification feedback and result delivery, embodying the design principle of letting the model focus on decisions and leaving deterministic operations to code.
50%UnverifiedThree types of tools are designed in the project: code search tools, code modification tools and code verification tools, corresponding respectively to the loop of perception, action and verification.
50%UnverifiedAn Agent system can be broken down into three parts: the user, the model, and hard-coded rules (the Harness), with the Harness responsible for deterministic tasks such as permission validation, error handling and resource management.
50%UnverifiedIn the demo, all five issues (the first four implementing different sorting algorithms, and the last converting the project into a command-line tool) successfully triggered automatic PR generation.
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