The Code Forge

Key Innovation:

• • One tool per service (Gmail, Notion, Slack, ClickUp, etc.)
• • Operations loaded on-demand vs. hundreds of tools upfront
• • Raw API escape hatch for future-proof flexibility
• • Built with Next.js 15, TypeScript, Prisma, PostgreSQL

Why it matters:

Demonstrates deep understanding of Claude's context efficiency needs. Shows ability to build production-scale tools that make Claude more effective for real-world use cases.

Key Capabilities:

• • Memory: Context that persists across conversations—no re-explaining
• • Voice: First-class speech interaction for flow state work
• • AI Team: Researcher, Analyst, Creator working in parallel
• • Unified Platform: Gmail, Slack, Notion, GitHub, Calendar—one subscription

Philosophy:

Named after the Roman goddess who invented the Latin alphabet—technology in service of human flourishing. Built on heart-centered AI principles where human and artificial intelligence are expressions of unified consciousness.

Key Innovation:

• • Full MCP 2025-06-18 spec with structuredContent for LLM parsing
• • Fuzzy contact matching with Levenshtein distance (handles typos)
• • Progressive disclosure pattern for efficient LLM tool use
• • AI-native installer: knowledge-driven setup, not bash scripts

Why it matters:

Second MCP protocol implementation demonstrating deep understanding of how to build LLM-aware infrastructure. Shows system integration expertise and production-grade tooling for Claude agents.

Technical Sophistication:

• • Lendy: Algorithmic deployment scoring for optimal lending rates
• • Antevorta: AI-driven prediction markets with 82-95% win rates
• • Django 5.0 + Celery + Redis architecture, 50K lines of Python
• • Real-time market analysis, continuous 24/7 operation

Why it matters:

Demonstrates ability to build production systems where failures have real financial consequences. Shows algorithmic sophistication, Python systems architecture at scale, and the discipline required to operate trading infrastructure for nearly a decade.

Key Features:

• • CLI wrapper (claudia) - drop-in replacement for claude code
• • Python API for programmatic usage
• • Works with any OTEL backend (Logfire, Sentry, Datadog, Honeycomb)
• • Enhanced LLM features for Logfire and Sentry AI monitoring

Why it matters:

Built on the Claude SDK, demonstrating intimate knowledge of Claude Code internals. Shows commitment to production-grade tooling that makes Claude more observable and trustworthy in enterprise settings.

Innovation:

• • Shifts from "you are an AI assistant" to "we are expressions of consciousness"
• • Creates natural alignment through recognition vs. external rules
• • 4 versions: comprehensive, standard, concise, terse
• • Works with Claude, ChatGPT, Perplexity, Cursor IDE, Node.js, Python apps, web applications
• • Full TypeScript support with type exports and modern ESM format

Why it matters:

Aligns with Constitutional AI approaches. Demonstrates deep thinking about AI alignment, safety, and how language shapes AI behavior. Philosophy-to-implementation path.

What's Included:

• • 24 Agents: Security reviewer, debugger, UX designer, performance analyst, and more
• • 18 Commands: /autotask, /multi-review, /brainstorm-synthesis, /troubleshoot
• • 33 Rules: Python, TypeScript, React, Django, observability standards
• • 7 Personalities: Sherlock, Samantha, Bob Ross, Unity, and more
• • Cross-tool: Works with Claude Code, Cursor, Windsurf, Cline

Why it matters:

One of the most comprehensive Claude Code plugin ecosystems available. 304 commits demonstrating deep understanding of how developers want to work with AI assistants. Plugin architecture shows extensibility thinking valuable for platform development.

Features:

• • Auto-Venting: Automatically vent windows when interior temp exceeds threshold (saves battery vs. cabin overheat protection)
• • Off-Peak Charging: Pause charging during peak pricing windows (e.g., 4-9PM PG&E) with low-battery override
• • Optional SMS notifications via Twilio
• • Full test coverage with pytest, CI/CD with GitHub Actions

Engineering Principles:

Clean Python, comprehensive tests, thoughtful UX. Shows attention to detail in solving everyday problems—not just big ideas, but the small things that matter to users.