๐ง๐ต๐ฒ ๐ฆ๐ต๐ถ๐ณ๐ ๐๐ฟ๐ผ๐บ ๐ฃ๐ฟ๐ผ๐บ๐ฝ๐๐ ๐๐ผ ๐๐ ๐ฆ๐๐๐๐ฒ๐บ๐
AI coding is changing. It is no longer about clever prompts. It is about execution systems.
A prompt asks for help. A system gives the model a workplace. It provides memory, tools, and checkpoints.
These systems use more tokens. They read and verify more data. You pay for planning and cleanup. This cost prevents big mistakes.
A bare model is cheap. It works for small tasks. Large tasks need a frame. Without a frame, models drift. They fail to gather context. They declare success too early.
Use this setup for better results:
- Force context intake first.
- Keep a visible task ledger.
- Use a separate checker for verification.
- Clean the workspace after progress.
- Set a token budget with stop rules.
You want reliability. You do not want confidence. Spend tokens where they create value. The future is the model plus a disciplined operating system.
Source: https://dev.to/jacob_is_surfing/claude-code-harness-and-the-cost-of-longer-agent-work-5fp4 Optional learning community: https://t.me/GyaanSetuAi