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FRONTIERS / Builder workspace

The AI FRONTIERS Stack.

Big ideas. A complete build plan. Evidence before launch.

Create your project brief
Boil the ocean. Build it one lake at a time.

Plan across the whole product, then ship complete, testable milestones. Inspired by gstack’s builder ethos ↗ and Garry Tan’s essay ↗.

Try the scenario lab →
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Layer 01 / 13

Offer & customer

Build something people need.

What you should leave with

A target customer, validated problem, offer, delivery scope, and success metric.

Product Manager Skills

Discovery and structured product planning; review its license for your use.

Read source & setup
Before this layer is ready
1 of 13 layers

Red / blue team loop

Red team: challenge

Question assumptions, model misuse, and reproduce failures in an authorized test environment. Deliver minimal repro cases, impact, and the invariant that failed.

Blue team: defend

Fix the cause, add regression tests, harden permissions and telemetry, then send evidence back for independent retest. Close findings only when the repro is resolved.

Roles are an execution protocol for your coding environment, not background agents running on this website. One strong starting prompt still needs complete requirements, configured access, and verified outcomes.

Scenario lab

Run a reproducible reference model for six common failure modes. Disable a blue-team control to see its red-team scenario fail. This runs real state transitions in the browser, but does not read, scan, or test your repository. Your codebase needs adapters and additional scenarios for its own behavior.

Blue-team controls

Use the same seed and controls to reproduce a run. Synthetic events and costs are part of this model, not provider measurements.

From repository nuances to evidence

  1. Map entry points, schemas, state machines, external calls, permissions, and concurrency assumptions from the actual repository.
  2. Write invariants and explicit unknowns. Add scenarios for crashes, races, migrations, rollback, rate limits, and partial completion.
  3. Use real test adapters with isolated PostgreSQL/services, property-based tests, and Playwright flows. Record the seed, commands, fixtures, output, and gaps.
  4. Have a separate reviewer challenge the model and retest fixes. Passing modeled cases cannot prove unmodeled behavior correct.

How the reference stack connects

Customer & offerWeb app & AI runtimeAuth · data · billingJobs & fulfillmentObserve & operate

Next.js + AI SDK + PostgreSQL (Supabase or Railway) + Stripe + a chosen workflow engine is one TypeScript reference architecture. Add the quality and observability layers as you build. Products, versions, permissions, costs, and licenses require deliberate integration; these tools have not been tested together as a FRONTIERS starter template.

Start with one coding workflow. Additional skill packs can overlap; more agents or MCP servers are not automatically better. Keep tool access narrow, changes reviewable, and acceptance evidence attached to each milestone.

On the discovery radar

GitHub Trending

Observed on GitHub Trending November 1, 2026. Optional explorations, separate from the reference architecture.

Dream-RSI · research track

The official released code studies exploration-policy improvement through replayed worlds. Its authors explicitly state that it is research code not intended for production. Evaluate it separately; it does not automatically understand or simulate every nuance in a repository.

Reference v2 · Sources checked November 1, 2026. Repo capabilities are publisher descriptions; the layer selection and launch checks are FRONTIERS editorial guidance. No stack guarantees production readiness.

Bring your project to the community