// CLAUDE AGENTS ยท TERMINAL TOOLING

Claude Code: Autonomous CLI Agent Architecture & TDD

Explore how Claude Code transforms software development by running autonomously in your terminal: inspecting codebases via AST, running build commands, fixing test failures, and operating as a pair-programmer.

1. What is Claude Code?

Claude Code is Anthropic's agentic coding interface designed to live directly in the developer's terminal environment. Unlike IDE chat sidebars that only suggest text, Claude Code operates with direct, sandboxed POSIX terminal access, enabling it to:

2. Claude Code Subagent Delegation Architecture

When tasked with large refactorings, Claude Code divides responsibility between an orchestrator thread and ephemeral subagents:

flowchart LR
    CLI[User Terminal CLI] --> Orch[Claude Code Orchestrator]
    Orch --> Plan[Project Planning & Graph Analysis]
    Plan --> Sub1[Subagent A: Test Discovery]
    Plan --> Sub2[Subagent B: Code Implementation]
    Plan --> Sub3[Subagent C: Documentation & Typing]
    Sub1 --> Exec1[Execute pytest / vitest]
    Sub2 --> Edit[Atomic Multi-File Edits]
    Exec1 -- Failures --> Sub2
    Sub2 -- Fixed --> Exec1
    Exec1 -- Passed --> Orch
    Sub3 --> Orch
    Orch --> Git[Git Stash / Commit / PR]
                  

3. Tutorial: Configuring CLAUDE.md for Project Autonomy

A well-crafted CLAUDE.md file in your repository root serves as the system instruction contract for Claude Code. Here is an enterprise production template:

CLAUDE.md
# Repository Automation Contract for Claude Code

## Build & Test Commands
- Full Test Suite: `pytest tests/ -v --cov=src`
- Single Test Run: `pytest tests/unit/test_payment.py -k "test_charge_success"`
- Lint & Format: `ruff check src/ && black --check src/`
- Type Check: `mypy --strict src/`

## Architecture & Code Standards
- Architecture: Domain-Driven Design (DDD) with clear repository/service separation.
- Never write ad-hoc SQL in controllers; always route through `src/db/repository.py`.
- Strict type hints required on all function signatures (`pydantic` v2 models for DTOs).

## Autonomous Agent Rules
1. Always run relevant unit tests BEFORE and AFTER making code modifications.
2. If tests fail, inspect the exact stack trace and apply minimal surgical diffs.
3. Never modify production database migration files directly; create a new revision using Alembic.
4. When done, stage modified files and generate a descriptive commit adhering to Conventional Commits.

4. Autonomous Test-Driven Development (TDD) Loop

In autonomous TDD mode, Claude Code writes failing tests first to establish formal specifications, then iteratively writes the production implementation until all assertions pass:

Step 1 ยท Spec Formulation
Write Failing Assertions
Claude Code generates unit test cases specifying all boundary values, invalid inputs, and expected return structures.
Step 2 ยท Execution & Failure
Verify Red State
Executes the test suite to confirm tests fail for the expected reasons, validating test robustness.
Step 3 ยท Green Implementation
Surgical Code Edits
Writes minimum required implementation code in business domain modules, eliminating boilerplate.
Step 4 ยท Refactor & Clean
Lint, Format & Commit
Refactors for readability, verifies type checks with Mypy, and commits the clean changeset cleanly.

Deploy Production Claude Agent Systems

Looking to architect custom Claude Opus 5.5 / Sonnet 5.5 multi-agent teams, self-healing Claude Code workflows, or hybrid local LLM routing? Let's design your enterprise roadmap.

Schedule Architecture Consultation โ†’ View Advisory Packages