Clawdemy Lessons

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Free AI literacy for everyday users. Bite-size narrated lessons that turn fear into fluency, one topic at a time.

  1. 11 de jun.

    AI-authored commits and PRs

    Lesson 15 of Track 7 (Git Workflow: From Solo to Multi-Agent Teams). What changes in a git workflow when an AI agent is the one typing the code. Co-authorship conventions including the standard Co-Authored-By trailer and the "Generated with Claude Code" marker. What human review specifically looks for in AI-authored diffs. How PR descriptions and release notes evolve to acknowledge AI contributions honestly. By the end of L15 you can author commits and PRs with AI contributions using clear conventions and review AI-authored work with the specific failure modes in mind.

    1h

  2. 11 de jun.

    Branches as parallel work surfaces

    Lesson 5 of Track 7 (Git Workflow: From Solo to Multi-Agent Teams). The lesson that opens Phase 2. You learn what a branch actually is (a movable pointer to a commit), how to create and switch branches, and why git's branching model is what makes collaboration possible. The snapshot mental model from L1 starts to pay off most here.

    23 min

  3. 11 de jun.

    Cherry-pick and stash

    Lesson 11 of Track 7 (Git Workflow: From Solo to Multi-Agent Teams). Two surgical tools every working developer reaches for. Cherry-pick copies a single commit from one branch onto another, the canonical way to backport hotfixes. Stash saves in-progress work without committing, the safety net for context switches. By the end of L11 you can backport a fix across branches, set aside dirty work to handle an emergency, and recover safely from both.

    1h 5min

  4. 11 de jun.

    Commit hygiene

    Lesson 3 of Track 7 (Git Workflow: From Solo to Multi-Agent Teams). The lesson where mechanics become discipline. You can commit, now you learn to commit WELL, meaningful messages, atomic scope, the staging area as a thinking tool, and the Conventional Commits convention that most professional teams use.

    20 min

  5. 11 de jun.

    Merge conflicts

    Lesson 7 of Track 7 (Git Workflow: From Solo to Multi-Agent Teams). Merge conflicts are mechanical, not catastrophic. You learn why they happen, how to read git's conflict markers, the step-by-step resolution process, the five conflict types (textual, logical, semantic, delete-modify, rename-edit), and when to abort and retry. By the end you can resolve any conflict you'll encounter in two-person collaboration.

    40 min

  6. 11 de jun.

    Multi-agent integration patterns

    Lesson 14 of Track 7 (Git Workflow: From Solo to Multi-Agent Teams). Three patterns for integrating work from parallel AI agents. Shared origin (simplest, most common). Per-agent fork (strongest isolation). Shared worktrees (fastest iteration, lead controls everything). How the lead orchestrates a fleet, runs integration, catches semantic conflicts that git cannot see, and produces a clean integration branch. By the end of L14 you can launch a multi-agent fleet, choose the right integration pattern, and avoid the failure modes that bite teams new to AI-collaborative development.

    1h 20min

  7. 11 de jun.

    Pull requests

    Lesson 6 of Track 7 (Git Workflow: From Solo to Multi-Agent Teams). Pull requests are where modern engineering culture lives. You learn the mechanical flow (push branch, open PR, address review, merge), how to write a PR description that respects the reviewer's time, the three merge strategies, and the etiquette of giving and receiving code review.

    35 min

  8. 11 de jun.

    Rebase, deeper

    Lesson 12 of Track 7 (Git Workflow: From Solo to Multi-Agent Teams). Pre-lesson orientation for L12. Scope, learning outcomes, prerequisites, reading map, and what L12 deliberately does not cover.

    1h 10min
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Free AI literacy for everyday users. Bite-size narrated lessons that turn fear into fluency, one topic at a time.

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  • Criado por
    Clawdemy
  • Anos de atividade
    2 mil
  • Episódios
    260
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    Clawdemy Lessons