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Learn MoreIndustry insights, tips, and best practices for software development and technology
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.
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.
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.
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.
Code-generation agents often fail because text-based diffs are fragile. AST-patch runtimes give agents a safer, structural way to edit code.
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.