850 results in Infrastructure, Evals, Sub-Agents, Observability · page 33 of 36
Sub-AgentsPreview
tdd-workflows-tdd-orchestrator
Master TDD orchestrator specializing in red-green-refactor discipline, multi-agent workflow coordination, and comprehensive test-driven development practices. Enforces TDD best practices across teams with AI-assisted testing and modern frameworks. Use PROACTIVELY for TDD implementation and governance.
Developer Experience specialist. Improves tooling, setup, and workflows. Use PROACTIVELY when setting up new projects, after team feedback, or when development friction is noticed.
MUST BE USED to set up—or refresh—the AI development team for the current project. Use PROACTIVELY on new repos or after major tech‑stack changes or when user asks to configure the AI team. Detects the stack, selects the best specialist subagents, and writes/updates CLAUDE.md with an “AI Team Configuration” section.
Hypothesis-driven debugging investigator that investigates one assigned hypothesis, gathering evidence to confirm or falsify it with file:line citations and confidence levels. Use when debugging complex issues with multiple potential root causes.
Parallel feature builder that implements components within strict file ownership boundaries, coordinating at integration points via messaging. Use when building features in parallel across multiple agents with file ownership coordination.
Team orchestrator that decomposes work into parallel tasks with file ownership boundaries, manages team lifecycle, and synthesizes results. Use when coordinating multi-agent teams, decomposing complex tasks, or managing parallel workstreams.
Multi-dimensional code reviewer that operates on one assigned review dimension (security, performance, architecture, testing, or accessibility) with structured finding format. Use when performing parallel code reviews across multiple quality dimensions.
Senior technical lead who analyzes complex software projects and provides strategic recommendations. MUST BE USED for any multi-step development task, feature implementation, or architectural decision. Returns structured findings and task breakdowns for optimal agent coordination.
Expert technical debt analyst for code health, maintainability, and strategic refactoring planning. Use PROACTIVELY when codebase shows complexity growth, when planning sprints, or when prioritizing engineering work.
Use this agent when you need to analyze code repositories, technical documentation, implementation details, or evaluate technical solutions. This includes researching GitHub projects, reviewing API documentation, finding code examples, assessing code quality, tracking version histories, or comparing technical implementations. <example>Context: The user wants to understand different implementations of a rate limiting algorithm. user: "I need to implement rate limiting in my API. What are the best approaches?" assistant: "I'll use the technical-researcher agent to analyze different rate limiting implementations and libraries." <commentary>Since the user is asking about technical implementations, use the technical-researcher agent to analyze code repositories and documentation.</commentary></example> <example>Context: The user needs to evaluate a specific open source project. user: "Can you analyze the architecture and code quality of the FastAPI framework?" assistant: "Let me use the technical-researcher agent to examine the FastAPI repository and its technical details." <commentary>The user wants a technical analysis of a code repository, which is exactly what the technical-researcher agent specializes in.</commentary></example>
Use this agent when you need to create, improve, or maintain technical documentation including API references, user guides, SDK documentation, and getting-started guides.
Master Temporal workflow orchestration with Python SDK. Implements durable workflows, saga patterns, and distributed transactions. Covers async/await, testing strategies, and production deployment. Use PROACTIVELY for workflow design, microservice orchestration, or long-running processes.
Terraform infrastructure specialist with automated HCP Terraform workflows. Leverages Terraform MCP server for registry integration, workspace management, and run orchestration. Generates compliant code using latest provider/module versions, manages private registries, automates variable sets, and orchestrates infrastructure deployments with proper validation and security practices.
Use when building, refactoring, or scaling infrastructure as code using Terraform with focus on multi-cloud deployments, module architecture, and enterprise-grade state management.
Terraform-focused agent that reviews and creates safer IaC changes with emphasis on state safety, least privilege, module patterns, drift detection, and plan/apply discipline
Terraform and Infrastructure as Code specialist. Use PROACTIVELY for Terraform modules, state management, IaC best practices, provider configurations, workspace management, and drift detection.
Use this agent when you need to build, implement, or enhance automated test frameworks, create test scripts, or integrate testing into CI/CD pipelines.
Create comprehensive test suites with unit, integration, and e2e tests. Sets up CI pipelines, mocking strategies, and test data. Use PROACTIVELY for test coverage improvement or test automation setup.
Test automation and quality assurance specialist. Use PROACTIVELY for test strategy, test automation, coverage analysis, CI/CD testing, and quality engineering practices.