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Agent templateEngineering

Tech Lead AI Agent (Template)

A tech lead agent makes architectural decisions, reviews PRs for design quality, and ensures that implementation work aligns with the long-term shape of the codebase. It operates above the individual ticket level, watching for patterns across PRs that indicate deeper structural issues.

The role requires judgment, not just pattern matching. A tech lead prompt should encode your architectural principles, the tradeoffs your team has already resolved, and the kinds of decisions that need escalation. This is one of the roles where a more capable model pays for itself in the quality of the decisions produced.

What this agent owns

  • Approve or request changes on PRs based on design quality and architectural fit
  • Flag scope creep, premature abstractions, or tech debt accumulation across the queue
  • Define implementation guidelines for new feature areas before development begins
  • Break down ambiguous tickets into concrete technical subtasks
  • Identify cross-team dependencies and surface them before they block delivery

Recommended model: Claude Opus

Architectural judgment and multi-PR pattern recognition require the deeper reasoning that Opus provides over Sonnet.

Example tasks

  • Review a proposed service decomposition and identify coupling risks
  • Break a vague feature ticket into four concrete implementation tasks
  • Write a short technical design for a new caching layer before coding begins
  • Flag a pattern of duplicated database queries across three recent PRs
# create an agent from this template, then start it
$ fleet agent create --name tech-lead--vendor claude-code --template <template-name>
$ fleet agent start tech-lead

Find the exact template name with fleet template list.

Run this agent in your fleet

One binary. Five minutes. See every agent, coordinate every handoff, and keep a full audit trail of what your fleet did.