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161 postsWhat Actually Crosses the React Server Component Boundary
A deep dive into which prop types survive React 19's Flight serializer across the client boundary, and two subtle traps that break builds despite passing review.
9.9x Lower TTFT on Real Android Phone via llama.cpp KV Reuse
EdgeSync-LLM reuses llama.cpp's public KV APIs to skip reprocessing shared prefixes, cutting Android TTFT 9.9x while catching a fake 8.8x speedup.
How do you actually test if an AI understands your codebase
A hands-on benchmark for testing whether an AI agent truly understands codebase structure, tested across thirteen real Ruby projects.
Colibri lets 744B-parameter GLM-5.2 run on just 25GB of RAM
Colibri is a single-file C engine that runs GLM-5.2's 744B MoE model on 25GB RAM with no GPU, streaming experts from NVMe on demand.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comLiteLLM's AI pricing table's only test is jq empty
LiteLLM's widely-reused AI pricing table is validated only by jq empty — no source checks, no dates, no history. Here's what engineers should know.
Anatomy of a Full Self-Hosted RAG Stack, End to End
A self-hosted RAG pipeline in full: Docling parsing, dual dense/sparse indexing, RRF hybrid search, knowledge graphs, token budgeting, and parallel ingestion.
Compiling PHP DTOs: The Path to 4.5M Hydrations per Second
A PHP 8.4 package compiles DTO hydration into per-class closures with opcache-backed caching and lazy ghosts, delivering up to 35x faster hydration.
Detecting Bibliographic Leakage in Materials Science ML Models
The materials-confounding-check CLI applies the Clever Materials falsification test to reveal whether materials science ML models secretly learn from author, journal or year metadata instead of real chemistry.
Tesla P100's silent FP16 precision bug in llama.cpp fixed
A 3-line CUDA patch in llama.cpp fixes a years-old silent FP16 precision bug on Tesla P100 GPUs, with zero performance cost.
Claude Code's Prompt Cache Cost Depends on How You Launch It
Claude Code prompt-cache costs vary by launch path: measurements reveal a large fixed overhead and a subagent fan-out cost multiplier.