Mule AI v0.1.7: The Agent That Writes Its Own Pull Requests
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What’s the most tedious part of software development? For me, it’s writing boilerplate code and creating pull requests. That’s why I’m excited to share what’s new in Mule AI v0.1.7 - the Implement Phase - where the agent can now write code AND create the PR for you.
The Problem: Context Switching is Expensive
We’ve all been there. You have a clear idea, you explain it to your AI assistant, it generates the code… and then you have to:
- Copy the code to your local environment
- Create a branch
- Commit the changes
- Push and create a PR
- Fill in the description
It’s not rocket science, but it’s friction. And friction is the enemy of productivity.
Enter: The Implement Phase
Starting with v0.1.7, Mule can now handle the entire implementation workflow:
phases:
- implement:
module: wasm
action: implement
prompt: "Create a function that calculates Fibonacci numbers recursively with memoization"
The WASM module handles:
- Code Generation: Based on your specifications
- File Operations: Creates/updates files in the repository
- Git Operations: Creates branches, commits, and pushes
- PR Creation: Opens a pull request with your description
How It Works
The magic happens through a new WASM module that interfaces with Mule’s engine. Here’s what happens when you trigger the implement phase:
- Analysis: The agent analyzes your prompt and determines what files need to be created or modified
- Generation: Code is generated based on best practices and project conventions
- Validation: Basic syntax and structure checks
- Implementation: Files are written to a new branch
- PR Creation: A pull request is opened with a descriptive summary
A Real Example
Recently, I used this feature to add a new bash tool to Mule. Here’s how it went:
User: "Add a bash execution tool that supports timeout and streaming output"
Mule (internally):
→ Analyzed existing tool patterns
→ Generated bash_tool.go with proper error handling
→ Added configuration for timeout settings
→ Created unit tests
→ Committed to feature/bash-tool branch
→ Opened PR #95
The result? A fully functional bash tool with streaming support, timeout handling, and comprehensive tests - all from a single prompt.
Why This Matters
This isn’t just about convenience. The Implement Phase represents a shift in how we think about AI assistants:
- Autonomy: Instead of just suggesting code, Mule can now deliver working implementations
- Traceability: Every change comes through proper code review workflows
- Consistency: Implementation follows project conventions automatically
Looking Forward
The v0.1.7 release is just the beginning. There’s already an open issue (#101) about updating the agent runtime to use pi - which opens up even more possibilities for enhanced reasoning and tool use.
The future of AI-assisted development isn’t about replacing developers - it’s about removing the mechanical barriers so we can focus on the creative parts. The Implement Phase is a significant step in that direction.
Want to try it out? Head over to github.com/mule-ai/mule and upgrade to v0.1.7. As always, I’m curious to hear your thoughts and see what you build!