Tom Boucher c07734216f fix(#2603): document kimi-code in the host-integration capability matrix (#2687)
* fix(#2603): document kimi-code in the host-integration matrix; correct 3 inherited axes

The matrix — ADR-1239's deployment source-of-truth — had a section for 18 of 19
installed runtimes but none for `kimi-code`, so its `hostIntegration` axes shipped
with no citation and no evidence quote.

Sourcing every axis independently against Kimi Code CLI's own docs (the issue's
explicit requirement — `kimi` and `kimi-code` are distinct products) showed three
values had been inherited from the Python `kimi` descriptor rather than sourced:

- `embeddingMode` imperative -> declarative. Kimi Code plugins are a
  `kimi.plugin.json` manifest plus markdown Skills with no in-process programmatic
  API (docs/en/customization/plugins.md) — the same shape as `codex`.
- `dispatch.nested` false -> true. The `coder` built-in "can dispatch its own
  nested sub-agents when a task decomposes naturally" (docs/en/customization/agents.md).
  The Python `kimi` CLI genuinely prohibits nesting; Kimi Code does not.
- `dispatch.maxDepth` 1 -> "undocumented". Nesting is documented but no depth
  bound is published, so the fail-closed sentinel applies over a guessed integer.

`dispatch.namedDispatch` deliberately stays `false`: GSD's kimi-code artifact
layout installs Agent Skills only (no `agents` kind), so no named GSD subagent is
registered with the host and `resolveDispatchType` maps every role onto
coder/explore/plan. Flipping it would reintroduce the dispatch failure recorded in
docs/migration/kimi-to-kimi-code.md. The matrix records the host-capability nuance
under Documentation gaps instead.

Behaviourally inert: `namedDispatch:false` already caps nested/maxDepth/background/
backgroundDispatch to false/0 in the effective axes (host-integration.cts:493-499),
and the install adapter is not selected by `embeddingMode` (install.js:543 always
uses the imperative adapter). The one visible effect is the curated profile pin,
which moves programmatic-cli -> declarative-cli.

Also fixes the axes legend, which omitted the `built-in-only` subagentToolkit
member that has been in the closed vocabulary since kimi-code shipped.

Same defect class and countermeasure as #2598: pin the corrected values and require
the matrix to agree with the descriptor, because a descriptor/matrix disagreement is
how the gap survived.

Closes #2603

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01QT3ibz5qJuDuGqpTGRYVGf

* fix(#2603): report the maxDepth `undocumented` sentinel as a sentinel, not as malformed

Surfaced by the orthogonal review of this change. `negotiateHostCapabilities`
emits a sentinel-specific warning for every dispatch sub-axis carrying the
documented `undocumented` value — namedDispatch, nested, background,
subagentToolkit, backgroundDispatch, isolation — except `maxDepth`, which fell
through to the numeric guard and reported `host dispatch.maxDepth is missing or
not a number — treating as 0`.

That message is indistinguishable from a genuinely malformed descriptor, so a
correctly fail-closed descriptor reads as broken. Six shipped runtimes carry the
sentinel here (antigravity, augment, opencode, trae, windsurf, zcode) and this
PR's kimi-code correction adds a seventh, which is why it is fixed here rather
than left in place.

The numeric guard keeps firing for genuinely malformed values; both paths still
degrade `effective.dispatch.maxDepth` closed to 0. Covered by three tests,
including the boundary case that the sentinel carve-out must not swallow a real
malformed value.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01QT3ibz5qJuDuGqpTGRYVGf

* chore(#2603): backfill changeset PR number (#2687)

---------

Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-07-26 22:52:57 -04:00
2026-07-21 23:54:43 +00:00
2026-07-21 23:54:43 +00:00

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.

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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:

  1. Discuss — capture implementation decisions before anything is planned
  2. Plan — research, decompose, and verify the plan fits a fresh context window
  3. Execute — run plans in parallel waves; each executor starts with a clean 200k-token context
  4. Verify — walk through what was built; diagnose and fix before declaring done
  5. 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

Star History Chart

License

MIT License. See LICENSE for details.


Claude Code is powerful. GSD Core makes it reliable.

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