CLAUDE CODE PATTERNS: SPEC-FIRST PROMPTS, GIT WORKTREES, AND E2E HARNESS
A community write-up shares practical ways to make Claude Code more reliable: drive features from an "expectations" spec into requirements/design/tasks, isolate...
A community write-up shares practical ways to make Claude Code more reliable: drive features from an "expectations" spec into requirements/design/tasks, isolate A/B implementations with git worktrees, and keep context lean by pruning skills and using /context. Users also report short autonomous sessions can implement most of a feature, and Playwright user-journey tests work well as a regression harness.
Gives a concrete, low-friction workflow to integrate AI into feature delivery with guardrails.
Encourages safe experimentation and regression discipline with worktrees and e2e tests.
-
terminal
Pilot spec-first prompting on a dedicated worktree with autonomous mode and compare PR cycle time, review rework, and defect rates to baseline.
-
terminal
Use Claude Code to generate Playwright user-journey tests, run them in CI, and track flakiness and coverage before gating merges.
Legacy codebase integration strategies...
- 01.
Start with one feature: add CLAUDE.md and a few SKILL.md files, keep context small, and prune skills regularly to avoid prompt drift.
- 02.
Adopt worktrees for AI-led A/B changes and integrate Playwright into existing CI; expect initial flaky tests and tighter commit discipline.
Fresh architecture paradigms...
- 01.
Adopt spec-first flow (expectations → requirements → design → tasks) and define skills early to guide prompts and autonomous runs.
- 02.
Structure repo and CI for parallel worktrees and fast e2e suites to keep feedback loops under 10 minutes.