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Stop Resetting Agent Containers: You Need Copy-on-Write Workspace Runtimes
Spinning up Docker containers or Firecracker microVMs for every agent trial-and-error cycle is killing loop latency. It is time to adopt lightweight, copy-on-write workspace runtimes that checkpoint execution states in microseconds.
Stop LLM-as-a-Judge: You Need Compiled Assertion Graphs
Using frontier models to evaluate LLM outputs is slow, expensive, and non-deterministic. Compile natural-language evaluation rubrics into fast, deterministic, short-circuiting assertion graphs.
Stop Vector-Searching Tool Schemas: You Need JIT Symbol Resolution
Scale past a hundred tools without blowing up context or causing execution failures by treating tool calling like dynamic library loading with JIT symbol resolution.
Stop Fine-Tuning for Style: You Need Dynamic Activation Steering
Style and safety behavior can be steered at runtime by injecting steering vectors directly into the residual stream, enabling many personas on one base model.
Beyond the Unified Diff: Why Agentic IDEs Need AST-Patch Runtimes
Code-generation agents often fail because text-based diffs are fragile. AST-patch runtimes give agents a safer, structural way to edit code.
Stop Summarizing Context: You Need Active KV Cache Garbage Collection
Treat the KV cache like heap memory and evict dead blocks directly from GPU memory instead of relying only on lazy summarization or massive context windows.