LLMs need a smaller executable world: DSL, FastAPI, and Context Infrastructure

LLM 需要一个更小的可执行世界：DSL、FastAPI 与 Context Infrastructure

This piece reframes DSLs as building a smaller executable world for LLMs, not just inventing syntax. The author walks through his own abandoned DSL project and argues that AI has lowered the cost of designing languages, writing parsers, and preparing examples—so teams can build domain boundaries first and decide their lifespan later. The core stack: FastAPI provides atomic actions, DSL describes complete plans, and Context Infrastructure stores past judgments and corrections. The article cites Unmesh Joshi's DSL post and the Tickloom demo, but notes Tickloom is an engineering showcase without cross-model benchmarks proving DSLs improve LLM accuracy. It warns that overly narrow boundaries can exclude correct answers—effect surface and composition rules matter more than Turing completeness.

Why it matters: Hits all three HKR axes: fresh angle, concrete architecture, speaks directly to agent engineering pain points. Score held at 72 because it's an opinion piece from a personal blog with no reproducible experiments or production case studies—high-quality thinking but not a hard r...