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Run Yorishiro locally to give coding agents a 3D presence that visibly signals states — including immediate reactions to build failures — by editing small JavaScript packs.
OpenAI and Work Louder released Codex Micro, a limited-run square button pad that triggers and monitors Codex agents — a tactile shortcut to speed routine developer workflows.
A compact how-to to run PokeTokenBar locally. This open-source demo maps AI token counts to Pokémon-style states, letting small teams visualize usage without exposing raw billing.
Open-source linter for files that steer AI coding agents (skills, CLAUDE.md). It flags vague instructions, contradictions, embedded secrets, and can auto-fix many issues.
Guide to attach Causari's MCP to an AI coding agent so prompts, model IDs, file reads/writes and reasoning are recorded with bidirectional causal provenance for trace, revert and bisect.
Reference MCP is an open-source indexed archive that lets AI agents search past sessions to reuse decisions and evidence. Run the demo, but set retention and access controls.
Run KiroGraph locally to build an on-disk semantic index and a small HTTP lookup service. Speed symbol and usage queries, reduce repeated tool calls, and keep code fully local.
Hacker News reports developers using a 3-component AI coding stack: Copilot, an opencode harness, and multiple models (Gwen/Claude) plus sandboxes to cut cost and limit risky writes.
A concise Mac-focused walkthrough to clone a-streetcoder/agent-deck and run one staging agent (issue label suggestions). Shows safety checks, secrets handling, timing, and a 7-day pilot.
A YouTube demo exposes a player config with many EXPERIMENT_FLAGS, signaling an actively changing browser runtime. Learn why teams should sandbox and test before adopting it.
Follow a concise checklist to clone Stagewise, add local secrets, and boot an agentic IDE connected to paid backends (Z.ai, DeepSeek, Moonshot). See README for exact commands.
Show how an in-repo canonical registry plus thin adapter scripts and a deterministic harness make different AI coding assistants follow the same commands, enabling auditable consistent edits.