# Claude Code CLI Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/claude-code-cli
> Markdown URL: https://aitinkerers.org/technologies/claude-code-cli.md
> Technology record last updated: 2026-02-22T16:58:26Z
> Generated: 2026-09-20T17:35:51Z

An agentic coding assistant that integrates Anthropic's AI models directly into your terminal for conversational development.

Claude Code CLI is Anthropic's command-line interface (CLI) for agentic coding: it meets developers where they work, in the terminal. This tool allows you to build features from plain English descriptions, debug complex issues, and navigate any codebase with conversational commands. It is powerful because it takes action: the CLI can directly edit files, run shell commands, and even manage Git operations like creating commits and branches. Installation is straightforward via `npm install -g @anthropic-ai/claude-code`, and it's designed to be a flexible, scriptable power tool that automates tedious tasks like fixing linting errors or resolving merge conflicts.

- Official technology site: https://claude.com/docs/code
- Public AI Tinkerers demos and talks: 5
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Hive Mind vs Solo Agent: A Live Race to See If Multi-Agent Coordination Actually Beats Working Alone](https://montreal.aitinkerers.org/talks/rsvp_ytH2ELCp8bo)

A live head-to-head race pitting a single Claude Code agent against a ruflo Hive Mind, a "Tactical Queen" coordinating 4 specialized workers (architect, coder, tester, reviewer), both solving the same Python coding challenge in real time. The challenge is to build a sliding window rate limiter from scratch, including implementation, tests, and 80%+ coverage. A custom real-time scoreboard dashboard (Node.js + SSE) watches both workspaces simultaneously, streaming logs and tracking progress as files appear, tests run, and coverage is measured. When both sides finish, an automated evaluation scores them on a 100-point rubric (implementation, test pass rate, coverage, edge cases, time). It's a controlled experiment to answer the question: does multi-agent swarm coordination actually produce better code faster than a single focused agent?

- Event context: AI Tinkerers Montreal - April Demo Night — 2026-04-22 — Montreal
- Public talk page: https://montreal.aitinkerers.org/talks/rsvp_ytH2ELCp8bo

### [Building a Terminal Orchestrator for AI Coding Agents in Rust](https://houston.aitinkerers.org/talks/rsvp_AD3Q9uzasnc)

**Context Foundry** is an autonomous build loop written in Rust. Give it a task list in markdown, and it works through every task using AI agents -- scouting the codebase, planning, building, and verifying with an independent reviewer in a fresh context. Passing tasks get committed. When the list runs out, a discovery agent scans for new work and keeps going. ``` SCOUT ──▶─ PLAN ──▶─ IMPLEMENT ──▶─ DOUBT ``` **The core insight:** every agent starts with a clean context window and receives only curated artifacts from the previous stage -- not a bloated conversation history full of noise. The scout writes a structured report. The planner reads that report and writes a plan. The builder reads that plan and writes code. The verifier reads the code with zero knowledge of why it was written that way. No shared context windows, no accumulated reasoning, no inherited blind spots. Each stage gets signal, not noise. This is how foundry prevents the compounding error problem where task 3 builds on task 2's mistakes. On top of this, **pattern learning** extracts reusable lessons after each task and injects them into future runs across all projects. ``` - [x] T1.1: Set up scaffolding [SPID] ● feat - [x] T1.2: Implement auth [SPID!] ✗ WIP - [ ] T1.3: Write tests [....] ``` You can also race two models against each other -- Claude and Codex each get their own worktree and run the full pipeline independently, so you compare finished solutions, not just raw outputs. Simple tasks skip the planner and reviewer and commit in about 30 seconds. There are three run modes: Auto keeps going forever, Sprint stops when the list is done, Review creates a PR after each task and waits for approval. Foundry has completed 141 tasks on its own codebase across 33 discovery rounds. Most of the features described here were built by the loop itself.

- Event context: AI Tinkerers Houston Meetup (March 10, 2026) — 2026-03-10 — Houston
- Public talk page: https://houston.aitinkerers.org/talks/rsvp_AD3Q9uzasnc

### [Claude-Reflect: Teaching Your Coding Agent Through Corrections](https://seattle.aitinkerers.org/talks/rsvp_LYdPlFYAdIc)

I will show how claude-reflect turns day-to-day corrections into persistent memory and reusable skills for Claude Code. The talk covers the two-stage pipeline (hook-based capture + semantic validation), how learnings are queued for human review, and how patterns become new /commands via /reflect-skills. I will walk through the architecture, tradeoffs in false-positive reduction, and a short live demo: correct the agent, run /reflect, and watch CLAUDE.md and skill files update.

- Event context: AI Tinkerers Seattle Meetup: Dev Tools Track — February 9th, 2026 — 2026-02-10 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_LYdPlFYAdIc

### [I'm in Danger - Ralph Wiggum in Claude Code](https://dublin.aitinkerers.org/talks/rsvp_mWOPI8K1sho)

I have recently been working on the idea of using an orchestrator agent to manage Claude Code in order to decrease the amount of time waiting for the coding agent to go through the building cycle. Also looking at optimisations such as using TOON (Token-Oriented Object Notation) file types to also optimise token usage.

- Event context: AI Tinkerers Dublin Meetup — Baseline, January 26, 2026 — 2026-01-26 — Dublin
- Public talk page: https://dublin.aitinkerers.org/talks/rsvp_mWOPI8K1sho

### [GenZ Discord IRL Events with RSVP Emoji and Vibe Photo Checkin](https://seattle.aitinkerers.org/talks/rsvp_nvr0Wf9-TXU)

Create and manage the vibe of IRL group events via Discord. * Pump up event with location images. * RSVP using only emoji reactions with agentic eval'ed intent. * Event checkin with photo vibe post agentic eval'ed for attendance.

- Event context: Building AI Agents with Google Cloud AI — 2025-07-25 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_nvr0Wf9-TXU

## Related Technologies

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- [Python](https://aitinkerers.org/technologies/python) ([Markdown](https://aitinkerers.org/technologies/python.md)) — 662 public demos
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- [Claude Code plugins](https://aitinkerers.org/technologies/claude-code-plugins) ([Markdown](https://aitinkerers.org/technologies/claude-code-plugins.md)) — 2 public demos
- [Claude Code skills](https://aitinkerers.org/technologies/claude-code-skills) ([Markdown](https://aitinkerers.org/technologies/claude-code-skills.md)) — 2 public demos
- [Claude Code skills & plugins](https://aitinkerers.org/technologies/claude-code-skills-plugins) ([Markdown](https://aitinkerers.org/technologies/claude-code-skills-plugins.md)) — 1 public demo
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- [Pydantic](https://aitinkerers.org/technologies/pydantic) ([Markdown](https://aitinkerers.org/technologies/pydantic.md)) — 30 public demos
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