It’s a React app but for your terminal. The whole UI is built with React and rendered in your terminal instead of a browser. It has its own layout engine, screen buffering to prevent flickering, and memory pooling for performance. There’s about 2,000 TypeScript files just to show you text.

The system prompt is 50KB. Every tool description, behavioral rule, and context injection gets put together dynamically based on your model and settings. The file that builds it is one of the largest in the codebase.

Several distinct bash security checks. Before your shell command runs, it gets sliced and diced in order to avoid shell specific attacks. It catches things users might not be aware of: invisible unicode characters disguised as spaces, tricks that take advantage of how the shell parses quotes, and ways to sneak commands inside other commands.

It starts working before you say “go.” The bot begins generating the next response before you’ve confirmed the current one. It pre caches file writes before all info is in hand, but throws the work away if the conversation goes in a different direction. It’s optimistic, betting it already knows what happens next. IMHO, this might explain why it sometimes seems overly eager to do a task before you’ve even given it further instructions.

There’s a swear jar. A specific system exists that flags certain obscenities as “negative”, which then redirects the bot’s behavior based on how upset the user might be.

There’s a hidden “buddy” system. That cute terminal Tamagotchi is a 45KB companion sprite component living in the codebase. It has reactions, you can pet it, and it has its own notification system. I love it.

It can run as a full agent swarm. Behind a feature flag, the bot can act as a boss that spawns worker agents, each with a restricted set of tools and shared temp storage. The boss’s prompt explicitly says “Never thank or acknowledge workers.” To save on tokens, I guess?

Startup is optimized. Checkpoints track millisecond level boot time. Lookups and checks fire simultaneously instead of one at a time. They saved roughly 200ms just by reordering when background processes kick off.

The remote version shreds its own credentials. If you’re running in a cloud container, the session token is read from disk into memory, then the file is immediately deleted. The process also tells the OS to block any other process from reading its memory.

There are wizard roleplay comments in the production code. The rules for how the bot manages its “thinking” blocks are documented in the source with actual wizard character commentary. Yes, this is shipped to users under the hood.

𝑫𝒊𝒔𝒄𝒍𝒂𝒊𝒎𝒆𝒓: 𝑰 𝒖𝒔𝒆𝒅 𝒕𝒉𝒆 𝒔𝒂𝒎𝒆 𝒃𝒐𝒕 𝒕𝒐 𝒉𝒆𝒍𝒑 𝒎𝒆 𝒘𝒓𝒊𝒕𝒆 𝒕𝒉𝒊𝒔. 𝑪𝒓𝒆𝒅𝒊𝒕 𝒘𝒉𝒆𝒓𝒆 𝒄𝒓𝒆𝒅𝒊𝒕 𝒊𝒔 𝒅𝒖𝒆 𝒂𝒏𝒅 𝒂𝒍𝒍 𝒕𝒉𝒂𝒕.