Members-Only
Recent Talks & Demos are for members only
You must be an AI Tinkerers active member to view these talks and demos.
Overview
A heavily extended Claude Code setup. Out of the box, Claude Code is one agent doing everything in a single context window — it breaks fast on real codebases. I rebuilt it as a multi-agent system: one conductor that only routes work, and 20 specialists that each hold one review lens.
Tech stack
- Claude OpusClaude Opus: Anthropic's flagship large language model, delivering frontier intelligence for complex reasoning, advanced coding, and autonomous agentic workflows.Claude Opus is Anthropic's most capable foundation model (LLM), setting the industry benchmark for complex reasoning, math, and coding. It achieves state-of-the-art results on key evaluations: Opus 4.1 scored 74.5% on SWE-bench Verified. The model features a massive 200,000-token context window (expandable to 1 million for specialized tasks), enabling deep, multi-file analysis and long-horizon agentic workflows. Deploy Opus for enterprise-grade automation, complex financial forecasting, or expediting R&D across critical sectors.
- Claude CodeAnthropic's agentic coding tool: Unleash Claude's raw power directly in your terminal or IDE to turn complex, hours-long workflows into a single command.Claude Code is Anthropic’s powerful agentic coding assistant, designed for high-velocity development. It operates natively within your terminal, IDE (VS Code, JetBrains), or via a web interface, allowing you to delegate complex tasks like feature building, bug fixing, and codebase navigation. The agent plans, edits files, executes commands, and creates commits, maintaining awareness of your entire project structure. Internally, Anthropic engineers using Claude Code reported a 67% increase in productivity, demonstrating its capacity to deliver significant gains for Pro and Max plan users.
- MCPMCP is the open-source standard for securely connecting AI agents (like LLMs) to external tools, data, and enterprise workflows.The Model Context Protocol (MCP) functions as a standardized integration layer: think of it as a USB-C port for AI applications. Developed and open-sourced by Anthropic, this protocol allows large language models (LLMs) to access real-time context and execute actions via external tools like GitHub, Jira, or proprietary databases . It uses a simple JSON-RPC interface to define tools, schemas, and endpoints, which enables AI agents to perform complex, state-changing tasks—such as creating a GitHub issue or running a test script—rather than just generating text . MCP is essential for building agentic AI systems that can autonomously pursue goals and operate within defined safety and permission boundaries .
- GPT-5OpenAI's GPT-5: The unified, multimodal foundation model delivering PhD-level reasoning and state-of-the-art coding performance.Copy that: GPT-5 is OpenAI's flagship multimodal model, launched August 7, 2025, as the successor to GPT-4. This is a major architectural shift: it unifies advanced reasoning capabilities (like the 'o-series' models) and rapid response times into a single system, eliminating the need for manual model switching (Source: OpenAI, August 2025). The model demonstrates state-of-the-art performance across technical benchmarks (math, programming, finance) and features a massive 272,000-token context window (Source: Jagran Josh, Voiceflow). Developers access it via the API in variants—including `gpt-5-mini` and `gpt-5-nano`—optimized for latency and cost trade-offs, making this frontier intelligence accessible across all ChatGPT tiers (Source: Botpress, Jagran Josh, Voiceflow).
- GitGit is the distributed version control system (DVCS) that tracks source code changes, ensuring data integrity and enabling non-linear development workflows.Git is the free, open-source distributed version control system (DVCS) created by Linus Torvalds in 2005 to manage the Linux kernel. Engineered for speed and efficiency, it handles projects from small to extremely large, storing the entire 1.4 million commit history of the Linux project in only 5.5 GB . Its core design supports non-linear development (branching/merging) and guarantees data integrity via cryptographic hashing. According to a 2022 Stack Overflow survey, 96% of professional developers use Git, making it the industry standard for collaborative software development .
Finding related talks...
Compose Email
Sending...
Email preview
Loading recent emails...