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Coursera

Claude From Zero

Pragmatic AI Labs via Coursera

Overview

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Software engineers learn to use Claude across its five working surfaces — claude.ai chat, Projects, Claude Code, Claude Chrome, and Claude Design — to write, review, and maintain production code. The course starts in the browser with chat and shows the three signals that you have outgrown it: copy-paste friction, multi-file change, and long-running tasks. You then move into Claude Code, the terminal agent, where you meet its tool surface (Read, Edit, Bash, Grep) and pin invariants in a project CLAUDE.md so every session starts with the same context. From there you build slash-command skills that wrap Rust binaries like cargo clippy, dispatch sub-agents in parallel with YAML-contract guardrails, and replace raw grep with pmat query enrichment flags (--churn, --faults, --coverage-gaps, -G). The course closes with pmat comply and pmat hooks wired into pre-commit, so failing code cannot land.

Syllabus

  • Meet Claude
    • Covers five surfaces — claude.ai chat, Projects, Claude Code, Claude Chrome, Claude Design. Same model reasons across every surface; only the interaction shape changes. A chat turn is prompt in, response out, with a side artifact panel for code the model writes. A Project is a named workspace with pinned reference files so every chat inside it sees the same context.
  • Claude Code Fundamentals
    • Covers install — one command puts the claude binary on PATH, no model weights download locally. Authentication trades an API key or console login for a persistent session on first run. Permission modes (default, acceptEdits, bypassPermissions, plan) trade autonomy for safety. claude.ai/code runs the same agent in a browser tab with no local install required, and shared sessions let work started in web continue in terminal and vice versa.
  • Skills (Slash Commands)
    • Skills are versioned slash-command files Claude Code recognizes from .claude/commands. Each Markdown file becomes a command — type /name and the agent loads the prompt, then runs it. Frontmatter declares an allowed-tools list and a description; the body uses Bash blocks for read-only inspection and an Instructions section for what to change. Skills make recurring workflows discoverable and reproducible across the team.
  • Sub-Agents and Reliability
    • Claude Code's Agent tool spawns a fresh sub-agent in an isolated context to run a focused job, then returns a structured report. Use it to dispatch read-only reviews in parallel against a contract, keeping the main session lean. Sub-agents make complex tasks reliable: divide work, scope tools, then merge findings. This module covers when to delegate, how to write contracts the sub-agents must satisfy, and how parallel review increases coverage without explosion of complexity.
  • Production Discipline with pmat and Contracts
    • Production code needs more than agents. This module locks the loop with pmat — a Rust CLI that replaces grep with ranked function queries by Technical Debt Grade, complexity, and coverage — plus contract gates that validate every change and sub-agent output. CLAUDE.md routes the agent to pmat for search, pmat hooks install enforces pre-commit gates, and YAML invariants pin sub-agent shapes. The full claude-from-zero repo demonstrates all four surfaces working as one cycle.
  • Critical Thinking
    • Synthesize the full Claude stack — surfaces, tool surface, skills, sub-agents, and pmat contracts — into one repeatable, gated workflow you can take into your own repo.

Taught by

Noah Gift and Liam Parker

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