WARPGREP: FAST CONTEXT RL RETRIEVAL

Summary from the TLDR AI newsletter

WarpGrep is a lightweight RL‑trained retrieval sub‑agent that finds the exact code files and line ranges developers need up to 5× faster than standard models by limiting search to four turns of parallel grep/read/glob calls. This approach keeps the main LLM's context clean, cuts noise, and halves token usage by specializing retrieval, not reasoning. In benchmarks on large repositories, WarpGrep doubled precision and maintained ~5‑second search times while reducing irrelevant context pollution.