e4f0910d62
Extends the #1074 scheme to tests/agent-size-budget.test.cjs, which used the same assertTightCeiling tier ratchet but was still line-based (never rebased in #717). Completes the migration — the last part of the #1074 epic. - Rebase agent sizing from lines to LF-normalized bytes (#717/#683). - Delete the 'SIZE: tier anti-creep' describe (3 assertTightCeiling tests); add a per-agent baseline (tests/agent-size-baseline.json) as the primary anti-creep, and byte hard caps (XL 56 KiB / LARGE 48 KiB / DEFAULT 24 KiB), each above its tier high-water with real headroom. No separate new-file cap: a net-new agent is DEFAULT-tier, already bounded by the DEFAULT cap. - Keep the agent-classification tests verbatim. - scripts/workflow-size.cjs: add generic measureMdFiles(dir, predicate) (workflows + agents share one byte-measurement path); measureWorkflows now delegates to it. - scripts/update-size-baseline.cjs: one 'npm run size:baseline' now regenerates BOTH the workflow and agent baselines (gsd-* filter for agents). Rebased onto next after PR 2/3 (#1096) merged: replicate the scripts/lib/workflow-size.cjs -> scripts/workflow-size.cjs move (PR 1/3) across the generator and the agent test's require; regenerate the agent baseline against current agents (a uniform +170 B preamble drift on all 33 since authoring). Addresses the #1097 review (trek-e): - BLOCKER (acceptance criterion 5): document the agent contract in CONTEXT.md. Adds RULESET.AGENT_SIZE_BUDGET (caps 57344/49152/24576, per-agent baseline, dual size:baseline, shared measureMdFiles seam) and disambiguates it from the separate DEFECT.AGENT-FILE-SIZE-CAP-BREACH 45K-CHAR guard (two units, two purposes). - Docs: now that #1096's docs/TESTING-SUITES.md "Workflow size budget" section is in next, fold in the agent coverage here (renamed to "Workflow & agent size budget"): agent caps + per-agent baseline + the how-to + reference rows, and the disambiguation from the 45K-char guard. - Minor (negative proof): add a boundary-fixture test exercising the hard-cap comparison at cap-1/cap/cap+1 through the real lfByteCount path, so a future threshold/operator edit can't silently neuter a cap. - Nit: align the tier test name wording ("stays within") with the <= operator. Negative proof on a real tracked agent (gsd-planner): baseline catches +10 B; XL hard cap catches 57,516 > 57,344 with the baseline current. Closes #1095 (PR 3/3 child); landing this completes the #1074 epic.
GSD Core
Git. Ship. Done.
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A light-weight meta-prompting, context engineering, and spec-driven development system for Claude Code, OpenCode, Gemini 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, Gemini 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, Gemini 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 your first project:
/gsd-new-project
New here? Follow Your first project for a guided walkthrough from install to first shipped phase.
Documentation
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.