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cleanup opportunities complexity hotspots
File size is the clearest signal of where complexity has pooled. The sizes below were measured against the standalone capsule and exclude generated output.
| File | Size | Lines (approx) | Note |
|---|---|---|---|
desktop/renderer/renderer.ts |
~98.6 KB | ~3400 | Monolithic renderer; prime split candidate |
lib/llm/prompt-builder.ts |
~21.9 KB | Prompt assembly and system-prompt text | |
desktop/main.ts |
~18.8 KB | Window sizing, env loading, IPC wiring, shell state | |
desktop/ipc/core.ts |
~16.8 KB | Command router and payload validation | |
types/index.ts |
~16.4 KB | Contract barrel (Zod schemas and inferred types) | |
lib/optimizer/engine.ts |
~15.6 KB | Optimizer orchestration |
The renderer is roughly four times the next-largest file. It handles command parsing, transcript rendering, the streaming "scramble then decode" effect, and the Coding Brief clarification round in one module. A focused split would separate command parsing, rendering, and streaming into their own modules, leaving desktop/renderer/renderer.ts as the wiring layer. The comment density suggests it grew feature by feature rather than by design.
The other entries are less urgent. types/index.ts is a contract barrel, so its size reflects the number of schemas rather than tangled logic. desktop/main.ts and desktop/ipc/core.ts mix several concerns and could be split along their existing seams (env loading, window sizing, command routing), but neither is a correctness risk today.
Line counts are given only where measured; the table leaves them blank otherwise.
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MyPrompt develops practical approaches to prompt engineering, multi-LLM optimisation, reusable prompt systems, and AI-native workflows — with an emphasis on structured, interoperable, and real-world AI use.
Built in Indonesia as part of the Sentra Artificial Intelligence ecosystem.
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