24 November 2024
Devin works best with incremental development and clear, focused tasks while requiring active monitoring to prevent implementation drift. Most effective for contained changes and log-heavy debugging, but watch for overcomplicated solutions and avoid using knowledge snippets.
After bunch of trial and error with Devin Lite, I've discovered that success comes from understanding its workflow patterns and adapting your approach accordingly. Here are the key lessons learned from over 50 hours of runtime experience and 1000+ commits.
Progressive Development
Start with small, contained tasks
Build complexity gradually
Verify each step before proceeding
Don't overwhelm with complex requirements upfront
Detailed PR descriptions often fail; prefer gradual tasks
Clear Specifications
Write specs separately in a notes app for easy formatting and reuse
Provide detailed docstrings with multiple examples
Define interfaces clearly to avoid over-complication
Consider using working snippets from other LLMs as starting points
For complex problems, create minimal examples with Claude/GPT-4 first
Active Monitoring
Request frequent reflections and summaries
Watch for "drift" in implementation
Be ready to course-correct early
Don't hesitate to rollback when needed
Knowledge Management
Avoid using knowledge snippets entirely if possible
Be aware that old snippets persist across refactoring
Knowledge system is too specs-oriented rather than learning coding patterns
Rejecting snippets is tedious (can require multiple attempts per session)
Knowledge snippets can cause implementation drift in future sessions
Code Quality
Watch for dead code accumulation
Name specific code sections for removal
Often writes more code than needed with duplicate methods
Can overcomplicate solutions despite explicit simplification requests
May need manual cleanup of abstractions and interfaces
Problem Solving
When facing multiple failures, request written hypotheses
Use reflection files for problem analysis
Consider parallel solution attempts
Keep track of working states for potential rollback
Excellent at API debugging with systematic logging
Can be stubborn about making requested changes
Task Structure
Break down complex tasks
Maintain clear priorities
Document success criteria
Keep specs separate and well-formatted
Version Control
Review PR updates frequently
Prefer diff view in PRs (not all files might be pushed) or Global Diff View in Devin
Be cautious with test failures - may modify tests instead of fixing code
Watch for unintended file submissions (like reflection.md)
Excellent at Git workflows like restoring from diffs
Testing Strategy
Verify CI results independently - Devin may misreport test status
Watch for test modifications
Keep test scope focused
Test failures can cause implementation drift
May aggressively pursue fixing tests at cost of code quality
Limitations
GitHub workflow is challenging
Input can be tricky (Enter key sends messages)
UI navigation needs improvement (refresh if things disappear)
Progress tracking can be inconsistent
Missing some desktop features
UI Issues
Knowledge snippet management is cumbersome
Conversation messages sometimes invisible
Progress/editor views can hide conversation
Progress tracking can stop working
Some buttons disappear requiring refresh
While Devin may not always increase raw productivity, it transforms the development experience by reducing cognitive load and enabling development from any device. Success comes from understanding its strengths (Git workflows, API debugging, systematic problem solving for "simpler" problems that require a lot of attempts) and limitations (UI issues, knowledge management, tendency to overcomplicate and duplicate code). The key is maintaining tight supervision while leveraging its capabilities for focused, incremental development.
Note: These tips are based on extensive usage of Devin Lite and may need adjustment for other versions.