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Parallel Agent Orchestration Playbook — LocalStack Application: First 30 Days

LocalStack Application: First 30 Days

This extends [[LocalStack-First-30-Days-Context-Layer-Framework]]. The aim is to build the LocalStack Context Map v1 faster and turn it into visible contribution quality.

Week 0 / Pre-start Setup

  • Install and update Claude Code locally.
  • Confirm claude --version supports claude agents / agent view.
  • Create a private non-company vault area for personal learning notes.
  • Create templates for agent handoffs and daily logs.
  • Define confidentiality rule: no proprietary content goes into public tooling, public prompts, blog posts, or future sales material.

Week 1: Context Acquisition

Run mostly read-only agents:

  1. Product map agent — LocalStack product surface, major user workflows, docs structure.
  2. Repo map agent — package/module layout, major abstractions, contribution flow.
  3. Test workflow agent — test taxonomy, commands, fixtures, slow vs fast suites, CI expectations.
  4. Customer pain scout — public docs/issues/blogs only: recurring pain patterns and terminology.
  5. Analytics trust scout — internal-only once access exists: key metrics, owners, definitions, source systems, caveats, and repeated decision questions. Keep this as private onboarding context, not public material.

Adam's output by end of week:

  • LocalStack glossary v0.1
  • Product/repo map v0.1
  • Test command cheat sheet
  • Analytics Trust Map v0.1: highest-value metrics, owners, definitions, caveats, and confidence gaps
  • 10 better questions for humans
  • 3 candidate contribution areas, ranked by leverage and safety

Week 2: First Trusted Contribution

Pick one small, safe issue or documentation/test improvement.

Parallel workflow:

  1. Context Scout maps the area.
  2. Repro Builder creates minimal evidence.
  3. Test Writer finds/drafts target coverage.
  4. Adam reviews and chooses the path.
  5. Implementation Scout makes the smallest change.
  6. Reviewer / Red Team checks diff.
  7. Docs / PR Narrator drafts PR text.
  8. Adam runs tests and submits.

Goal: not a big PR — a clean, obviously thoughtful PR.

Weeks 3-4: Repeatable Contribution Loop

Start measuring the workflow:

  • Time from task selection to context map
  • Time to repro / failing test
  • Number of agent sessions used
  • Number of useful vs wasted outputs
  • Review defects caught before PR
  • Maintainer feedback themes
  • Reusable notes/templates created

By day 30, Adam should have a private LocalStack Agent-Orchestrated Work Log with enough evidence to decide whether the pattern genuinely increases contribution quality.

Back to [[Parallel-Agent-Orchestration-Playbook]]. Related: [[AI-Ready-Analytics-Foundations-2026]].