77,000+ lines of TypeScript, all built with Claude Code over the past several months. Zero lines written from scratch by hand.
The project is TxDesk, a multi-tenant B2B SaaS platform: AI support agents for DeFi protocols that decode blockchain transactions in plain English. Full stack including API, embeddable widget (Preact + Rollup), website, shared package, Stripe billing, WalletConnect wallet verification, Discord and Telegram bots. 46 blockchain integrations, 30+ AI tool functions, 1,700 tests passing.
It took months but not because the AI was slow. It was because I kept shipping new features and integrations back to back. The actual coding velocity with Claude Code is insane, things that would take a team weeks ship in hours. I run 2-3 terminals in parallel on different parts of the codebase.
The trick that makes it work at scale: decision documentation. Each terminal has no memory of the others, so I write markdown docs capturing every architectural decision and load them into each session. Without that the AI happily undoes work from another terminal.
Now I've shifted to using AI to help with marketing and distribution too. The building was the easy part. Getting customers is where I'm stuck.
Live in production at txdesk.io.
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77,000+ lines of TypeScript, all built with Claude Code over the past several months. Zero lines written from scratch by hand.
The project is TxDesk, a multi-tenant B2B SaaS platform: AI support agents for DeFi protocols that decode blockchain transactions in plain English. Full stack including API, embeddable widget (Preact + Rollup), website, shared package, Stripe billing, WalletConnect wallet verification, Discord and Telegram bots. 46 blockchain integrations, 30+ AI tool functions, 1,700 tests passing.
It took months but not because the AI was slow. It was because I kept shipping new features and integrations back to back. The actual coding velocity with Claude Code is insane, things that would take a team weeks ship in hours. I run 2-3 terminals in parallel on different parts of the codebase.
The trick that makes it work at scale: decision documentation. Each terminal has no memory of the others, so I write markdown docs capturing every architectural decision and load them into each session. Without that the AI happily undoes work from another terminal.
Now I've shifted to using AI to help with marketing and distribution too. The building was the easy part. Getting customers is where I'm stuck.
Live in production at txdesk.io.