Claude Tools / Plugins / mach10
Plugins · leanandmean/mach10
mach10
Structured agentic development methodology - from issue analysis to merge
CLEARED_STATICclaude-onlyv1.33.0
Pipeline results
Coverage
CLEARED_STATIC
Tests run
7 / 8
Portability
Claude-only
Type
Plugins
Tests & results
What the pipeline checked
What's inside
Components found
agents/feature-completeness-checker.md
componentmedium
commands/doc-review.md
componentlow
commands/issue-assessment.md
componentmedium
commands/issue-create.md
componentmedium
commands/issue-implement.md
componentmedium
commands/issue-plan-review.md
componentmedium
commands/issue-plan.md
componentmedium
commands/pr-ci-fix.md
componentlow
commands/pr-create.md
componentmedium
commands/pr-merge.md
componentmedium
commands/pr-pre-merge.md
componentmedium
commands/pr-review-fix.md
componentlow
commands/pr-review.md
componentmedium
commands/push.md
componentmedium
commands/test-audit.md
componentlow
Coverage
Not assessed
- behavioural execution not run
README
From the repository
# Mach 10 A development methodology for agentic coding -- and a Claude Code plugin that implements it. ## What is Mach 10? In agentic coding, the AI is not an autocomplete engine -- it is an active collaborator that writes code, reviews it, manages GitHub issues and PRs, runs tests, and documents its work. The human's role shifts from writing code to directing, aligning, and reviewing. You describe requirements, approve architectural decisions, and steer direction. The AI handles the searching, writing, testing, and bookkeeping. This changes the failure mode. The bottleneck is no longer typing speed or syntax recall -- it is context management. LLM context windows are finite. A deep code review can consume most of the available context, leaving little room for implementation. Multi-session feature development requires persistent memory across sessions. And without a structured workflow, agentic coding produces inconsistent results: missed edge cases, orphaned TODOs, reviews that never converge. Mach 10 is a methodology that addresses these constraints directly: fresh sessions for each step, GitHub as persistent memory, staged implementation, and iterative review-fix cycl…