In the AI era, the engineer's role is changing.
DevLoop Runner is an environment to practice that change.
Enter an Issue, AI designs and implements, and you focus on "judgment" — your real job.
Starting from a GitHub Issue, collaborate with AI to design, implement, and deliver a PR.
No setup required. No impact on existing repositories.
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For teams bringing AI into their workflow
Sound familiar?
- Using AI, but your design skills haven't grown
- PRs are up, but the quality of thinking is invisible
- AI is convenient, but team knowledge isn't sticking
A Day in an Engineer's Life, Transformed
The case of Alex (28, Backend Engineer)
A typical day
- 1Morning: staring at a pile of Issues
- 2Organizing design in your head
- 3Re-checking specs while implementing
- 4Exhausted by the time you write a PR
- 5Documentation updates postponed
Another day spent just writing code.
After DevLoop Runner
- 1Enter requirements in an Issue
- 2AI presents a design proposal
- 3Judge the design's validity
- 4AI proceeds with implementation
- 5Focus on review and refinement
- 6PR and documentation auto-generated
Today I spent my time on design and judgment.
Time didn't halve. The center of gravity of thinking shifted.
It works as is. But the thoughts won't remain.
Don't Make AI a Black Box
A team of 4 specialists works alongside you on every project
Describe your requirements
Analyzes the issue and defines the approach
Architects the solution and writes the code
Creates test scenarios and validates quality
Writes clear technical documentation
Review the PR, make decisions, and refine
Humans don't become unnecessary.
Your role evolves to "judgment."
AI doesn't replace you.
You stay in the loop.
DevLoop Runner is designed with a Human-in-the-Loop approach. AI proposes, but humans always make the final call on design decisions and PR merges.
This isn't about surrendering control to AI — it's about amplifying your judgment while AI handles the heavy lifting.
Skills You'll Gain
Engineering skills for the AI era, honed through DevLoop Runner
Issue Decomposition
The ability to break complex requirements into AI-executable units. Also a foundation of project management.
AI Instruction Design
Designing precise instructions to achieve expected outcomes. The core skill of AI collaboration.
Review Perspective
The eye to evaluate AI-generated code. The ability to articulate quality standards and guide improvement.
Async Development Design
Managing and integrating multiple parallel tasks. The key to scalable development.
Small Team Leverage
Leveraging AI as a team member to achieve significant outcomes with a small team.
Big Picture Thinking
The ability to oversee the entire product, not just individual tasks. As AI handles the parts, humans must integrate the whole.
These are the very leverage of the AI era.
This Is Not an Efficiency Tool.
Not depending on AI, but mastering it.
Not mindless automation, but collaborative thinking expansion.
Reclaiming the engineer's initiative.
DevLoop Runner is an environment for building the ability to think and create alongside AI. Efficiency is a byproduct. The essence is the evolution of thinking.
AI handles 'implementation'. Humans handle 'judgment'.
Frequently Asked Questions
Common questions about DevLoop Runner answered
Step into AI collaboration.
Just enter your first Issue.
Try with 1 IssueNo setup required. No impact on existing repositories.