Skip to main content

TLM — AI Tech Lead that enforces TDD, tests, and spec compliance in Claude Code.

Project description

TLM — AI Tech Lead for Claude Code

The annoying agent that makes Claude do the right thing.

TLM sits inside Claude Code and enforces TDD, tests, and spec compliance — automatically. It interviews you before coding, generates specs, and blocks commits that don't meet your project's quality bar.

Quick Start

pipx install tlm-cli
tlm signup
cd your-project
tlm install

That's it. Open Claude Code and start working — TLM activates automatically.

What Happens

  1. tlm signup — Create your account (one-time)
  2. tlm install — Scans your project, generates enforcement rules, you approve them interactively. Installs Claude Code hooks.
  3. Work in Claude Code — TLM interviews you before features, enforces TDD, checks spec compliance before commits
  4. tlm check — Manual quality gate (runs your approved checks mechanically)

How It Works

TLM scans your project and asks Claude to figure out your stack — test framework, linter, deploy targets, coverage thresholds. It generates an enforcement config and presents it for your approval:

TLM Enforcement Config

  Quality Checks (3):
    ● Tests pass [pre_commit]
      pytest tests/ -v
    ● Linting [pre_commit]
      flake8 src/
    ○ Security audit [pre_commit]
      pip-audit

Does this look right?
  yes — Approve and save
  [correction] — Tell me what's wrong

You can correct anything conversationally. Once approved, enforcement is mechanical — commands and exit codes, no LLM opinions.

Commands

Command What it does
tlm signup Create account
tlm auth <key> Save API key
tlm install Full setup: scan, approve config, install hooks
tlm uninstall Remove TLM integration (keeps data)
tlm check Run quality gate manually
tlm status Project stats + enforcement status
tlm learn Analyze recent commits for patterns
tlm learn --all Full history analysis

Philosophy

  1. Claude knows your stack. TLM doesn't hardcode detection for any framework. Claude figures it out.
  2. You approve everything. Nothing becomes a rule until you say yes.
  3. Enforcement is mechanical. Commands and exit codes. No LLM opinions during enforcement.
  4. Annoying, not a prison. Every block has an OVERRIDE. But you have to be explicit.

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tlm_cli-0.3.2.tar.gz (115.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

tlm_cli-0.3.2-py3-none-any.whl (64.0 kB view details)

Uploaded Python 3

File details

Details for the file tlm_cli-0.3.2.tar.gz.

File metadata

  • Download URL: tlm_cli-0.3.2.tar.gz
  • Upload date:
  • Size: 115.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for tlm_cli-0.3.2.tar.gz
Algorithm Hash digest
SHA256 7417cc28afbfa22a4f23174da4f98b9fad44d6c8f9a5cc7aee1e04ea0cee8672
MD5 a5fe4fa7a807a39473c7a0a90b2adc73
BLAKE2b-256 d5ec1c5ef99d29d504ad724b474c48da31cee360f7ed4fa6cfb1ffa8aa1f4e12

See more details on using hashes here.

File details

Details for the file tlm_cli-0.3.2-py3-none-any.whl.

File metadata

  • Download URL: tlm_cli-0.3.2-py3-none-any.whl
  • Upload date:
  • Size: 64.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for tlm_cli-0.3.2-py3-none-any.whl
Algorithm Hash digest
SHA256 b07069efc60ff8f4a2f74a5358055d9ed1b494ebf177a9d3121408ca5fcd0c67
MD5 3584513c68b75a4d53452edbffd74469
BLAKE2b-256 55e1a9741abe33a029be5425c9ce07690e64eb7211c69924a898618b6d82f665

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page