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* test(#3034): failing-first coverage for opt-in parallel reviewer lanes Executes the real invoke_reviewers dispatch block from review.md against a stubbed gsd_run seam rather than pattern-matching the workflow text, so the two properties that actually carry risk are observable: that every lane is joined before aggregation, and that concurrent lanes cannot tear a line in gsd-review-lane-results.jsonl. Concurrency is proven by a barrier fixture, not by elapsed time -- each stub lane blocks until all lanes have checked in, which can only complete if they overlap. Red against the current sequential dispatch, by design. Refs #3034 Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> * feat(#3034): add opt-in parallel reviewer lanes Reviewer lanes within one review pass inspect the same immutable plan snapshot and have no dependency on one another, but were dispatched strictly one at a time, so a multi-reviewer pass cost roughly the sum of its lanes. The serialization is a deliberate protection against provider rate limits, so it stays the default; review.parallel_lanes opts a project out of it. The loop body is hoisted into run_review_lane so the sequential and concurrent paths share one body -- two hand-synced dispatch bodies is the divergence class ADR-2782 spent a phase deleting. Each lane writes a slug-scoped result file, concatenated in selection order after the join: concurrent O_APPEND is atomic only below PIPE_BUF, and write_reviews parses that JSONL to render the models:/model_sources: frontmatter, so a torn line is a broken REVIEWS.md rather than a cosmetic log defect. Aggregating in selection order also keeps the artifact byte-identical between the two paths. The guard is strict equality on "true" and falls back to sequential when config-get fails -- the opposite polarity from the commit_docs guard, because failing open here fires the very requests the default prevents. Also corrects docs/COMMANDS.md and its four locale mirrors, which described --all as running every configured reviewer in parallel when dispatch was in fact sequential. Closes #3034 Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> * fix(#3034): de-duplicate dispatch slugs and scope lane locals Review finding (Standards axis): a slug repeated in SELECTED_REVIEWERS would put two concurrent background jobs on the same > -truncated per-lane result file. The shared-append form this replaced could not corrupt itself that way, so de-duplicating is what keeps the concurrent path no worse than the sequential one. Selection de-dupes today -- the roster is a Set and review.default_reviewers normalizes lowercase-unique -- but reachability analysis is not a contract, which is the same reason the roster derivation itself is guarded. Splitting once into DISPATCH_SLUGS also removes the duplicated tr-split the same review flagged: the dispatch and aggregation loops now share one list, which is what guarantees they walk the same slugs in the same order. A plain string accumulator rather than an array, because zsh and bash disagree on array indexing and this block runs under both. Also scopes run_review_lane's locals. Not a live fix -- each dispatched call already forks its own subshell -- but it makes the isolation a property of the function rather than of the dispatch mechanism happening to fork. Refs #3034 Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> * test(#3034): acknowledge review.md growth, drop spent 2295 ack The differential attribution gate reported review.md growing 4173 bytes (30712 -> 34885) with no live acknowledgment. Adds the per-PR fragment it asks for, naming only the one path it reported. Deleting tests/emitted-drift-acks/2295-resolved-model.json is required, not opportunistic. That fragment declared review.md and nothing else, and its ripple is already absorbed into the base, so it is spent -- it can no longer clear anything, which is why the gate still reported review.md as unacknowledged. It could not simply be left alone either: two ack sources may never name the same path, so it blocked this PR's fragment outright. CONTRIBUTING is explicit that a fragment whose last entry is removed gets deleted with it, because an empty fragment signals nothing while its presence reads as a live alarm. Refs #3034 Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> * chore(#3034): backfill changeset PR number Refs #3034 Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> --------- Co-authored-by: sim <sim@local> Co-authored-by: Claude Opus 5 <noreply@anthropic.com>
GSD Core
Git. Ship. Done.
English · Português · 简体中文 · 日本語 · 한국어
A light-weight meta-prompting, context engineering, and spec-driven development system for Claude Code, OpenCode, Antigravity CLI, Kimi CLI, Kilo, Codex, Copilot, Cursor, Windsurf, and more.
What is GSD Core
GSD Core is a context-engineering and spec-driven development framework that drives AI coding agents (Claude Code, Codex, Antigravity CLI, Kimi CLI, Copilot, Cursor, and more) through a disciplined phase loop. It solves context rot — the quality degradation that accumulates as an AI fills its context window — by running all heavy research, planning, and execution work in fresh-context subagents while keeping your main session lean.
How it works
Each milestone repeats the same five-step loop, one phase at a time:
- Discuss — capture implementation decisions before anything is planned
- Plan — research, decompose, and verify the plan fits a fresh context window
- Execute — run plans in parallel waves; each executor starts with a clean 200k-token context
- Verify — walk through what was built; diagnose and fix before declaring done
- Ship — create the PR, archive the phase, repeat for the next one
Quickstart
npx @opengsd/gsd-core@latest
The installer prompts for your runtime (Claude Code, OpenCode, Antigravity CLI, Kimi CLI, Kilo, Codex, Copilot, Cursor, Windsurf, and more) and whether to install globally or locally. The installer is required for cross-runtime compatibility — do not copy files from agents/ or commands/ directly.
On another runtime or without Node.js? See Install on your runtime.
Once installed, start a new project or onboard an existing repo:
/gsd-new-project # greenfield project
/gsd-onboard # existing codebase
New here? Follow Your first project for a guided walkthrough from install to first shipped phase, or Onboarding an existing codebase for brownfield setup.
Documentation
What's new in 1.7.0 → docs/whats-new-1.7.0.md
Tutorials — learning by doing:
How-to guides — task-focused recipes:
Reference — authoritative facts:
Explanation — concepts and design decisions:
Full index: docs/README.md. Other languages: 日本語 · 한국어 · Português · 简体中文.
Why it works
Most AI-coding setups fail at scale because context bloat silently degrades output quality, there is no shared memory between sessions, and nothing verifies that code actually works. GSD Core solves all three: heavy work runs in fresh subagents, structured artifacts like STATE.md and CONTEXT.md survive session boundaries, and the verify step walks through what was built and generates fix plans before a phase is declared done. See docs/explanation/context-engineering.md for the full reasoning.
Troubleshooting? See docs/how-to/recover-and-troubleshoot.md.
Community
| Project | Platform |
|---|---|
| gsd-opencode | Original OpenCode port |
| Discord | Community support |
Star History
License
MIT License. See LICENSE for details.
Claude Code is powerful. GSD Core makes it reliable.