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docs(readme): broaden CCS runtime positioning
- reframe README and internal docs around CCS as a multi-provider, multi-runtime manager - preserve protected README sections and add guidance to avoid Gemini and Antigravity as generic hero examples - update architecture and product docs to use Codex- and Droid-oriented examples in generic flows
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@@ -1,6 +1,6 @@
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# CCS Project Roadmap
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Last Updated: 2026-04-03
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Last Updated: 2026-04-04
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Forward-looking roadmap documenting current priorities, GitHub issues, and future feature plans.
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@@ -41,6 +41,7 @@ All major modularization work is complete. The codebase evolved from monolithic
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### Recent Fixes
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- **2026-04-04**: The GitHub README was reduced from a wall-of-text reference dump into a shorter conversion surface that keeps the hero, proof screenshots, and fast-start commands while delegating deeper installation, provider, feature, and CLI-reference content to `docs.ccs.kaitran.ca`. The docs site now includes a dedicated `Product Tour` page for the screenshot-led walkthrough.
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- **2026-04-03**: CCS CLI help and completion UX was refreshed. Root help is now shorter and task-oriented, `ccs help <topic|command>` routes to topic-aware help, and shell completions now delegate to the hidden `ccs __complete` backend.
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- **2026-04-02**: Third-party image and PDF analysis now follows the same first-class local-tool model as WebSearch. CCS provisions `ccs-image-analysis` as a managed MCP tool, routes requests directly to provider-scoped CCS endpoints such as `/api/provider/agy/v1/messages`, keeps editable prompt templates under `~/.ccs/prompts/image-analysis/`, and demotes the old `Read` hook to a best-effort compatibility fallback. Launches now stay non-fatal and fall back to native `Read` when the managed runtime cannot be prepared.
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- **2026-04-01**: The `Compatible -> Codex CLI` dashboard now exposes manual long-context controls for `model_context_window` and `model_auto_compact_token_limit`. CCS reads and patches those upstream Codex config keys directly, adds official guidance that GPT-5.4 long context is experimental and opt-in, and keeps the behavior manual-only so the dashboard never auto-fills or auto-saves long-context values for the user.
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