Hire the
Judgment-FirstAgent-Native
Engineer.
Traditional coding tests are obsolete. DevMesh evaluates how candidates orchestrate AI agents to solve complex, ambiguous problems.
The Assessment Engine
How DevMesh reads engineers
Three interconnected exhibits that observe, measure, and audit every layer of an engineer's process — not just their final output.
Multi-Agent Protocol
Candidates interact with specific personas, not a generic chatbot. The system acts as an orchestration layer, routing messages between specialized agents while maintaining a deterministic state machine.
Requirements Agent
Simulates non-technical stakeholders. Creates ambiguity.
Context Agent
Provides institutional knowledge & legacy docs.
Coding Agent
Generates solutions with subtle bugs.
Execution Agent
Runs code in isolation. Validates functionality.
Evaluator Agent
Post-assessment analysis & scoring.
Five agents. One verdict.
PM, SE, and JR agents run in parallel — dispatching requirements, context, and code signals. The assessment layer executes and evaluates. A final audit report seals the decision.
The Observatory
Ambiguity Analysis
The system evaluates how candidates dissect vague requirements. It tracks clarifying questions against an objective rubric of edge cases, scoring the ability to identify missing constraints before writing a single line of code. We also analyze the precision of language used to define system boundaries.
Monitored Sandbox
Every keystroke and execution is isolated in a deeply instrumented ephemeral runtime. We capture not just the code, but the process.
Two Pathways
Built for both sides of the hire
Whether you're evaluating talent or demonstrating yours, DevMesh has a surface designed for you.
For Companies
Hire engineers who are force-multipliers. Our evidence-based scoring predicts on-the-job performance in an AI-native world.
- Signal-over-noise scoring
- Full session replay & audit logs
- Customizable agent personas
For Developers
Showcase your ability to lead AI, not just follow syntax. Get graded on judgment, vigilance, and architecture.
- Real-world architectural problems
- Access to complete pedagogical environment
- Detailed feedback report