Quintine
b7ec94015a
Expand the internal introduction to eight lessons and six Basic exercises. A Fremen practice auction teaches budget limits, raising, passing and re-entry, full-hand exclusion, all-pass termination, winner-only payment and private purchase inspection. Two explicitly fixed opponent scripts make legal teaching moves without a confirmation step or changes to actual AI strategies. Extract ordinary bid validation and next-seat/payment/unbid selection into shared pure helpers used by both the practice and live engine. The engine retains actual card custody, ally contribution, Karama, Bureaucrat, payment and response handling. Inconsistent order/eligibility fails closed instead of an unbounded loop. No mode/expansion/publication gate changes. Version 3 lesson saves retain the existing key and migrate all five v1 and seven v2 positions by identity. Prior committed movement, battle and Traitor choices persist. Only learner bid/pass choices are saved and semantically replayed; over-budget, underbid, full-hand and post-terminal choices are rejected, and unrelated fields are stripped. Independent review found no material defect. Types, lint, 4925 offline tests and production build pass on stable final source. Nine new tests cover shared bidding order/eligibility/funding and practice outcomes, actual engine payment/card-custody comparisons, all-pass/full-hand paths, all v2 lesson migrations and saved replay. Existing v1, movement, combat and Traitor checks remain green. HTTP/auth/schema code did not change; offline checks include existing in-memory persistence tests, and no live HTTP suite was rerun for this checkpoint. Browser checks confirm preserved older movement practice, heading focus, keyboard budget control, invalid bid blocking, pass/re-entry, refresh during and after the auction, private Shield inspection, full-hand and all-pass results. The completed bid display stays at the actual committed amount. At 390px controls fit at 309px wide with at least 44px height and no document overflow; the viewport was reset. Screenshot capture still times out, so visual screenshot acceptance remains unverified. The page has no external links and the existing Learn tab is retained. All 1337 original rooms, 2805 seats and every existing recovery/entry/handover/delegation/migration row are unchanged. SQLite integrity and foreign keys pass. No reset, migration, restart, automation, account-usage check or AI strength calibration occurred. Bounded current-state review also confirmed Extortion, Atomics and Kull still cross previously recorded material rulings; no duplicate questions or house rules were introduced. Alliances, faction/Advanced/expansion teaching and the full game objective remain unfinished. Verified source tree: b5d318722db155645e98ec3319ffea47f4caa049a06ff5d97abc850db59cb717
Dune — Arrakis Table
An unofficial multiplayer adaptation of Gale Force Nine’s classic 2019 Dune, built with React, TypeScript, Vinext, and Cloudflare Workers/D1. Development is ongoing; this is not yet a complete rules implementation. Advanced and unfinished expansion starts remain disabled. Start with current status for implemented systems, remaining requirements and release gates; detailed historical evidence remains in the implementation log.
Run locally
Use Node.js 22.13 or newer and npm. Install the locked dependencies and apply local migrations before starting the server:
npm ci
npm run db:local
npm run dev -- --host 0.0.0.0
Open http://localhost:3000. Create a room, share its eight-character invitation, and add human or AI seats. The host can configure Easy, Medium, Hard and Brutal AI opponents. Current calibration demonstrates a substantially weaker Easy policy; it does not yet demonstrate a consistent ordering among the upper three levels.
Before starting, open Configure on an AI seat to change its difficulty, faction or player circle without replacing it. Changes save immediately and clear human readiness. See lobby AI configuration.
Full AI implementation and tuning wait until all non-AI game features are complete. The AI development plan then targets approximately 75% higher-tier wins for Medium/Easy, Hard/Medium and Brutal/Hard. Until that stage, AI work focuses on minimal legal participation and critical playability fixes.
Choose Learn to play for the interactive introduction
at /learn. Practice bidding, shipping, movement, battle plans, Traitor calls and collection before entering a
room; lesson progress stays in your browser and does not change saved games.
Local games persist in .wrangler/state. Keep this directory across restarts. Apply new additive migrations before running code that depends on them. Never delete the local database to resolve a connection or rules problem. .openai/hosting.json belongs to the existing Sites project; do not recreate the hosting project.
Saved seats and reconnecting
The room cookie identifies your seat. Refreshing or reopening the invitation with that cookie restores your private hand and pending decisions. A failed restoration offers an explicit retry. Requests time out after 15 seconds; uncertain game actions are reconciled with a read rather than automatically repeated.
Use Protect your saved seat to generate and privately save a recovery kit before enabling its key. Keep the complete kit separate from the invitation. Recover a saved seat uses that kit to restore the same faction after cookie loss and revokes the previous browser sessions for that seat. Recovery keeps existing forces, resources and sealed commitments. Anyone holding the kit can control that seat and see its private information.
If recovery receives no confirmed response, keep the page open and retry the same recovery request. The server recognizes the receipt and does not rotate twice. Replacing the recovery key invalidates the older kit. Host-initiated takeover remains unfinished. An owning human seat can enable or disable its own AI control during a started game.
For a planned absence, Let a player start AI for your seat grants one named human player permission to start your chosen difficulty once within 24 hours. They can activate it while you are online, but receive no private seat access. You can revoke unused permission or take back control. Recovering or transferring either seat invalidates the grant. See AI permission for saved retries and limits.
New create/join requests save a private, tab-scoped retry record before sending. If the response is uncertain, keep the tab open and use the explicit retry; refresh preserves the same request. Confirmed success removes that record. Clearly rejected first requests return to the form for correction. A retry can recover the original room and seat without creating duplicates, but closing the tab or clearing its data can lose the proof. This record is separate from the long-term seat recovery kit.
An uncertain saved-kit recovery keeps its exact retry details in memory and prevents conflicting navigation. If that recovery has become obsolete, deliberate abandonment releases the controls after explaining that it cannot undo a completed recovery. Keep a valid saved kit before discarding retry details.
Use Pass your seat to another player for a voluntary one-time transfer. The private offer lasts 24 hours; acceptance preserves progress and revokes the old owner’s sessions and recovery kits. The recipient uses Accept a seat handover on the home page, then creates their own recovery kit. Keep the tab open until acceptance is confirmed; exact private retry details survive refresh in that tab. See seat handover for cancellation, retry behavior and current limits.
The table header offers optional Sound effects, with mute, volume and a test sample. Short cues mark phase changes and automatic action notices. Sound starts off; preferences stay in your browser. See table sounds for activation, background behavior and prototype limits.
Verify changes
Use the development guide for architecture, focused tests and the repeatable verification tools. Tests are discovered automatically; the default suite includes in-memory persistence recovery and needs no server:
npm test -- ecaz-collection ecaz-spice
npm run check
npm run build
Run npm run test:integration against a development server for HTTP/session
changes. npm run test:multiplayer remains available for recovery plus HTTP
checks; npm run test:recovery runs only in-memory persistence tests. All test
commands accept filename fragments and --list after --.
The production build is written to dist. npm start runs that build with Wrangler; apply its database migrations to the intended storage environment before use. The included local migration command targets the development database, not a remote deployment.
Reproduce the current AI study with:
node --import tsx tools/ai-calibration.ts --games 120 --seed 20260907 --out /tmp/dune-ai-calibration.json
See AI calibration, multiplayer audit, component inventory, and visual playtest for scope and limitations. Passing subsystem tests does not certify every rules combination.
Development maintenance
The user-authorized 13 September 2026 local reset established a fresh saved-game baseline; see the reset record. Preserve all games created after that checkpoint.
Reuse the running development server. Restart only when a code or configuration change, or an observed server condition, makes leaving it running likely to cause issues; use judgment rather than an hourly schedule. Preserve database state, warn before interrupting human play, and defer until a safe decision point. Verify server health and restoration after a necessary restart. No recurring automation is installed; the user requested leaving it removed. Fix causes of crashes and lost progress rather than relying on restarts.
The application bundles its artwork, fonts and rules guidance. Source provenance and third-party notices live in developer documentation; the player-facing reference uses internal links. Publication remains gated on completion and integrated verification of the requested rules, expansions and critical player journeys.