Intelligent by Design
01 · Thesis
AI agents that can reason about full project context, decompose complex requirements, generate production code in sandboxed environments, and push changes to repositories autonomously are no longer theoretical. They're being built right now. The question isn't whether this transformation happens — it's what the delivery platform looks like when it does.
Bespoke Agentics exists to explore that question through building. Not through decks or demos, but through working software that structures the messy reality of professional delivery — requirements, risks, workstreams, design context, source control — and gives AI agents the structured knowledge they need to reason about real projects.
Most AI coding tools treat code generation as an isolated act. Real delivery requires structured context: which requirements map to which workstreams, what the design constraints are, which repos own which capabilities. The platform that structures this knowledge wins.
Autonomous code generation at scale demands sandboxed execution, human review queues, audit trails, and verification pipelines. The hard problem isn't making AI write code — it's making AI write code you can trust in production.
02 · Foundry
Foundry is a multi-tenant agentic delivery platform that transforms how agencies and software delivery businesses turn plans, conversations, and requirements into working deliverables. Feed it plans and conversations — Foundry decomposes them into structured requirements, reasons about implementation, provisions AI sandboxes, and ships code to repos.
This is a solo founder build by Quintin Henry. It's being open-sourced not because it's finished, but because the problem it's attacking — the full idea-to-implementation loop — is too important and too large for closed development. The software is in an alpha state. The architecture is real, the codebase is substantial, and the system works end-to-end. What it needs now is scrutiny, contribution, and the compounding insight that comes from building in public.
Foundry is engagement-type agnostic. It works for platform migrations, greenfield builds, system integrations, and ongoing product development. The reference client is Burlington Medical — 118 requirements, 8 skills, 7 workstreams — running through the full delivery pipeline.
03 · Architecture
A browser/desktop client connected via WebSocket to a reactive backend, with AI inference and sandboxed execution handled by edge workers. Every query is indexed, every mutation is auth-gated, every agent action is auditable.
Browser + Desktop
52 routes, thin page wrappers over shared @foundry/ui components. Real-time subscriptions via Convex WebSocket. Desktop app shares the same component library through Tauri 2.
Backend
55+ tables across 6 functional domains. Server functions for queries, mutations, and actions. AI actions assemble context and call Claude. Webhook handlers for GitHub, Atlassian, and Clerk.
AI Inference
Hono + Anthropic SDK on Cloudflare Workers. Structured output endpoints for requirement analysis, task decomposition, and codebase analysis. Three-tier model deployment.
Sandbox
Durable Objects orchestrating Docker containers. 10-stage provisioning state machine. Ephemeral Claude Code environments for autonomous code generation, verification, and auto-commit to repos.
Auth
Organizations as tenants. JWT validation on every request. Row-level security via assertOrgAccess() on every query and mutation. Webhook-synced user records.
Integrations
GitHub App for repos, PRs, and webhooks. Atlassian OAuth for Jira and Confluence. Durable event buffer pattern with exponential backoff retry.
04 · Current State
This is alpha software. The core delivery pipeline is stable and running end-to-end. The dominant development theme over the past two weeks has been deepening AI integration and building the observability layer for agent-driven delivery.
05 · Why Open Source
The idea-to-implementation gap is one of the most consequential problems in software right now. Closing it requires combining structured delivery knowledge, AI reasoning, sandboxed execution, and human oversight in ways nobody has fully figured out yet. That kind of problem benefits from being open.
A 55-table schema, a 4,142-line orchestrator, and a multi-process distributed system all benefit from external eyes. The codebase is real and substantial. It needs critique as much as contribution.
Requirements intake, AI decomposition, sandbox execution, verification, PR generation, design context cascading — each piece is a deep problem. Opening the platform invites domain expertise at every layer.
Whatever the future of agentic delivery looks like, there's value in having a working, documented, end-to-end system that people can study, fork, and build on. Foundry is that system, warts and all.
06 · Get Involved
Foundry is open for exploration, contribution, and conversation. The project recap covers the full architecture, recent activity, decision log, and cognitive debt hotspots.