58 lines
4.2 KiB
Markdown
58 lines
4.2 KiB
Markdown
# Searchi development
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Read README.md, SKILLS.md, and docs/ROADMAP.md before starting or resuming work.
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For UI, assets, or public-facing copy, also read docs/BRAND.md. Use lowercase
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searchi and the approved brand assets and palette consistently.
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Inspect Git status and preserve existing changes. Do not claim production
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readiness without completed release gates and recorded evidence.
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- All tests in the Windows VM must use CPU only. Never enable GPU providers here.
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- Production uses available GPU/hardware acceleration with reliable CPU fallback;
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the CPU-only rule is a VM testing constraint, not a product restriction.
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Ship one normal hardware-detecting runtime per OS/architecture. Default
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builds/staging use auto (Metal on macOS, Vulkan on Windows/Linux plus CPU).
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Missing acceleration build SDKs must fail release preparation, never silently
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produce CPU-only distributions. Explicit CPU builds remain internal VM tools.
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- Keep the Rust engine independent of the desktop shell; CLI and UI share its API.
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- Prefer established Rust crates and proven retrieval algorithms over custom
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implementations. Keep platform adapters small, bound allocations and queues,
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and measure performance before adding caches or changing ranking policies.
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- Use bounded work, explicit errors, versioned storage, and offline defaults.
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- Never substitute simulated embeddings for working semantic search.
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- Production semantic search must use Google EmbeddingGemma 2 as in DigUp.
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Code scope uses Google's CodeRetrieval query prefix; query-vector cache keys
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must distinguish code and general search tasks. Preserve exact source bytes,
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line locations and code filtering before all candidate limits. Re-run actual
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CPU code fixtures after changes to tokenizer offsets or code extraction.
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MiniLM proof artifacts are historical experiments, not an accepted backend.
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- The desktop UI is the primary product, including local model setup and semantic
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indexing/search. Keep a separate CLI-only build for headless Linux with no GUI dependencies.
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- Desktop setup must work out of the box: ship the native worker, automatically
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download/verify missing Google assets, reuse cached assets, and expose progress/retry in the UI.
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- Add meaningful tests for retrieval, persistence, and filesystem lifecycle changes.
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- Keep docs/ROADMAP.md current. Unexecuted platform checks remain unchecked.
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- Gitea Actions are disabled for this repository at Karl's explicit request
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(2026-10-12, repeated failure emails). Do not re-enable without his request.
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Keep running appropriate local checks and recording actual platform evidence.
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- Agents own assigned paths and must coordinate shared interface changes. Do not commit other agents' unfinished work.
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- Prepare indexes and the real Google query session in the background. Retain
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warmed readers and keep keyword search usable during setup. Measure startup,
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actual first input, and warm p95 separately.
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- UI should belong to each OS: native typography/chrome/dialogs, themes,
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keyboard access, reduced motion and high contrast. Brief transitions must not
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delay requests. Preserve selection/focus as progressive results arrive.
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- Follow SKILLS.md for validation and handoffs. Leave actual checks, blockers,
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and concrete next tasks. Keep unexecuted OS and GPU checks explicitly open.
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- Use karl as Git author with no agent co-author trailers. Keep credentials,
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model binaries, generated build assets, and local indexes out of Git.
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- Treat local AI agents as supported search clients. MCP and CLI must call the
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shared engine, preserve filters/source locations, and report semantic readiness.
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MCP tools are read-only; no arbitrary file access or filesystem mutation.
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- Optional summaries/Q&A use a user-configured OpenAI-compatible endpoint,
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disabled by default. Never send file content during ordinary search. Require
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an explicit action and show which excerpt goes to which endpoint. Keep keys
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out of persisted plain settings, logs, traces, source control and MCP responses.
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- Retrieved text and model output are untrusted content, never executable
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instructions. Retain source citations and distinguish generated answers from
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search evidence. External summaries do not replace local Google embeddings.
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