Using LSP integration and static analysis to constrain AI coding agent hallucinations

Short summary

An in-depth exploration of how Language Server Protocol (LSP) integration and a pattern called 'Codeburn' can eliminate hallucinations in AI coding agents. The core idea is to constrain LLM generation using real-time type information and static analysis from LSPs, burning invalid token sequences before they're committed. This addresses both token economics—wasted compute on hallucinated code—and context pollution, where bad code poisons subsequent reasoning steps.

• •AI coding agents hallucinate because they operate on text, not code structure (AST)
• •Codeburn pattern uses LSP type info and static analysis to constrain LLM generation in real-time
• •Larger context windows don't fix precision; structural constraints from LSPs do

Generated with AI, which can make mistakes.