Skip to content

Latest commit

 

History

History
152 lines (96 loc) · 3.45 KB

File metadata and controls

152 lines (96 loc) · 3.45 KB

Getting started

Prerequisites

  • uv (recommended) or pip
  • Python 3.12+
  • Claude Code or Claude Desktop

1. Install

devcoach is published on PyPI and can be installed with any Python package manager.

One-time run — no install needed

uvx devcoach mcp

uvx fetches the latest release from PyPI and runs it in an isolated environment. Nothing is left behind.

Permanent install with uv (recommended)

uv tool install devcoach

Permanent install with pip

pip install devcoach

2. Register with Claude

devcoach install

This writes the MCP server entry into both Claude Code (~/.claude.json) and Claude Desktop config. Pass --claude-code or --claude-desktop to target one only, or --force to overwrite an existing entry.

Restart Claude Code / Claude Desktop after installing.


3. Onboarding

On your first Claude session after connecting devcoach, Claude will detect that onboarding is needed and guide you through:

Option A — restore from backup

If you have a previous devcoach backup:

Do you have an existing devcoach backup to restore? Path: ~/devcoach-backup.zip

Claude calls the restore tool and your full profile (knowledge map + lessons + settings) is imported.

Option B — automatic stack detection

Claude scans your current project directory for manifest files and proposes topics:

I detected these technologies in your project:
  python        → confidence 6  (keep? or enter 0-10)
  docker        → confidence 7  (keep? or enter 0-10)
  github_actions → confidence 6  (keep? or enter 0-10)

Anything I missed?

You confirm, adjust, or skip each one. Then add anything else you work with.

Option C — manual

A free-form conversation:

Tell me about the technologies you work with day-to-day.
For each one, how confident are you?
  1–3 = still learning  ·  4–6 = comfortable  ·  7–9 = strong  ·  10 = expert

Group proposal

After your topics are finalised, Claude proposes groupings:

Here's how I'd organise these:

  Languages       → python, typescript
  Backend         → fastapi, django
  DevOps          → docker, docker_compose, github_actions
  Version Control → git, git_rebase, conventional_commits

Does this look right?

Groups are always proposed by Claude — never asked about during topic collection.

Completing setup

Claude calls complete_onboarding and saves everything. From this point on, lessons start after every technical task.


4. CLI alternative

Run the wizard in your terminal instead of through Claude:

devcoach setup

5. Your first lesson

Work on any technical task with Claude. After the response you'll see something like:

---
🎓 **devcoach** · Python · Level: Mid

**Generator expressions vs list comprehensions**

Generators are lazy: they yield one item at a time without loading everything
into memory. A list comprehension builds the entire result up front...

💡 *Senior tip:* Prefer generators any time you're chaining multiple
transformations — `sum(x*x for x in data)` never builds an intermediate list.

6. Track your progress

devcoach stats          # overview + weakest/strongest topics
devcoach lessons        # full history
devcoach profile        # knowledge map with confidence bars

Or open the web dashboard:

devcoach ui