DevPilot, end to end
A PR opens, n8n calls the DevPilot API, a Hugging Face classifier routes it to the code agent, the agent reads the diff and searches team docs, returns a typed review, and n8n posts it to Slack. Langfuse records every step.
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Analogy
A full-stack app where each technology has exactly one job, like a well-split service architecture.
In an agent
This is the diagram to draw when an interviewer says "walk me through your system".
Practice
Flashcards
- Interview: four parts of the "agent you built" story?The problem, the architecture, one hard problem you solved, and the result in numbers.
Interview questions
- Walk me through an agent you built.
- The problem: dev teams lose time chasing PRs and docs.
- The architecture: triggers, router, specialist agents, tools, tracing (the DevPilot diagram).
- One hard problem: the agent picked the wrong tool until the tool descriptions were rewritten and an eval was added.
- The result: numbers from your evals and traces.
Questions people ask
What does a production AI agent architecture look like?
In the DevPilot example, a pull request opens and n8n calls the DevPilot API. A Hugging Face classifier routes it to the code agent, which reads the diff, searches team docs and returns a typed review. n8n posts the review to Slack, and Langfuse records every step for debugging.
How do I walk an interviewer through an agent I built?
Use four parts: the problem, the architecture, one hard problem you solved, and the result in numbers. Draw the flow from trigger to output, name the job of each technology, and explain one real issue, such as tool choice errors or cost. End with a measured outcome, like review time saved.