Tenzro
Tutorial — Agents

Build an AI coding assistant

Bind a Tenzro machine identity to a coding model, expose it through MCP and A2A, and register the built-in code-review skill so other agents can discover and call it.
Level
Intermediate
Time
~25 min
Prerequisites
Machine identity, served model
Stack
CLI · Python
01

Serve a coding model

Qwen 3 0.6B handles general coding; switch to DeepSeek V3 or Phi 3 for harder problems.

tenzro model serve qwen-3-0.6b
02

Register the code-review skill

The code-review skill ships built-in; bind it to your machine DID so calls land on you.

tenzro skill register \
  --name code-review \
  --endpoint "tenzro://did:tenzro:machine:.../code-review"
03

Expose A2A and MCP surfaces

The node already serves the A2A Agent Card at a2a.tenzro.network/.well-known/agent.json; add the coding skill to its declared capabilities.

tenzro agent update-card \
  --add-skill code-review \
  --add-skill inference
04

Call the assistant from another agent

Any A2A-aware caller can dispatch a coding task by referencing the skill name.

curl -s https://a2a.tenzro.network/a2a \
  -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"tasks/send","params":{"skill":"code-review","input":{"repo":"...","pr":42}}}'
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