Factorio

Factory is a reference software factory for Claude Code and Codex that installs a repeatable, version-controlled software-delivery workflow into an existing GitHub project. GitHub Issues serve as the work queue, while committed policies, skills, labels, handoff comments, pull requests, and run records preserve state between fresh agent sessions. Scheduled agents triage issues, route them to implementation, specification, questions, or blockers, claim bounded work, implement it on a branch, run configured type, lint, test, build, audit, and architecture checks, obtain independent verification, and open draft pull requests. An independent verifier reads the diff and checks that the new test fails without the implementation. Humans retain responsibility for ambiguous requirements, system design, significant changes, and merging pull requests. The repository has no custom orchestrator or queue service. Claude Code routines provide the default scheduling and compute, with a thin Codex adapter using the same policies, gates, and evidence files; GitHub events or an optional API-triggered Action can also start runs. It is configured through files such as a human-owned charter and gates script, and includes a /factory control room backed by live issues, pull requests, and run records.

Warp Factories is a platform for defining and running cloud software factories: fleets of agents that automate software-development workflows from task intake through review and a mergeable pull request. Factories are specified as code in a factory.yaml file, including repositories, agents, models or harnesses, runners, credentials, MCP servers, cloud access, integrations, triggers, and approval gates. Agents run in isolated execution environments, while Warp centralizes their transcripts, tool calls, outputs, and traces for evaluation. Evals and LLM-as-judge rubrics can score factors such as redundant tests, verbosity, and efficiency; benchmark runs compare configurations, and self-improvement agents identify recurring failures and open pull requests that modify factory skills or configuration. The platform supports models and agent harnesses such as Claude Code and Codex, integrations with work and source-control systems, and deployment in Warp's cloud or a customer's own VPC.

Rabbet is a from-scratch C++ 3D game engine with a sparse-set entity-component system, versioned entity handles, dense component pools, and a system-and-resource runtime. Its OpenGL 4.1 renderer provides a forward path with metallic-roughness PBR, a Phong fallback, lighting and shadow maps, emissive surfaces, optional image-based lighting, post-processing, CPU particles, and heightmap or noise terrain. The Forge editor provides a dockable ImGui workspace around a render-to-texture viewport, asset thumbnails, hierarchy reparenting, click-to-pick, snapping gizmos, and Play/Pause/Step/Stop controls that snapshot and restore scenes. Assets use stable UUIDs and .import sidecars; models, textures, audio, materials, shaders, prefabs, and scenes are supported, with scenes stored as readable JSON. Lua behaviors run through sol2 with live hot-reload and inspector-editable fields, while physics uses Jolt rigidbodies and audio uses miniaudio. The repository includes the engine, editor, examples, and tests, including the Orb Hunt demo game. It uses CMake 3.24 or later and a C++20 compiler, supports macOS and Linux, fetches pinned dependencies during configuration, and is licensed under Apache License 2.0.

Weco AI is an autoresearch agent platform for running and inspecting optimization experiments. It repeatedly proposes code changes, evaluates them against a fixed command and measurable goal, keeps changes that improve the score, and discards weaker attempts. Its dashboard presents the search as an experiment tree with scores and diffs, allowing users to branch from promising runs and steer an ongoing search toward a different idea. The workshop materials demonstrate the approach with Mini Parameter Golf and a Flappy Bird controller evaluated across multiple conditions, including hidden validation data and limits on editable code.

Microsoft Foundry is Microsoft's enterprise AI platform for building, grounding, deploying, evaluating, and governing AI applications and agents. It provides access to a broad selection of foundation, open, reasoning, multimodal, and industry-specific models, with tools for model customization, model routing, agent development, organizational grounding, business-system connections, and hosted deployment. Its lifecycle features include tracing, built-in evaluation for qualities such as relevance and groundedness, runtime security controls, and unified governance across agents, tools, and knowledge sources. In the cited workshop, models hosted on Foundry were accessed through the OpenAI SDK for scenario testing and evaluations.