How Coding Agents Edit Files: Diffs, Snapshots, and Fast Apply
Applying diffs to disk breaks more agent workflows than reasoning errors. Here is how Aider, Claude Code, Cursor, OMP, DeepSeek Harness, OpenCode, and Morph modify code.
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Thoughts on data engineering, GenAI, distributed systems, and software architecture. Views expressed here are my own and do not represent my employer. RSS
Applying diffs to disk breaks more agent workflows than reasoning errors. Here is how Aider, Claude Code, Cursor, OMP, DeepSeek Harness, OpenCode, and Morph modify code.
When Can Bölük forked Mario Zechner's minimalist Pi to create omp, he made a radical bet: harness defects are the real ceiling for AI coding. Here is the architecture behind that bet.
DeepSeek AI and Peking University formalized agent modularity in a recent paper on spatiotemporal composability. Here is an engineering look at the Cordis kernel, revertible effects, and what this pattern means for self-modifying agents.
I run several coding agents every day. Hermes is different because its job is not to finish one coding task. Its job is to remember, schedule, and route the work that fills the rest of my day.
Developer Twitter claims you can deslop AI output by pasting ASD-STE100 or Orwell's rules into system prompts. Empirical benchmarks prove the opposite: forcing simple language at reasoning time cripples the model.