2025-11¶
- Choosing Google Cloud Managed Lustre for your external KV Cache | Google Cloud Blog
- Managed Lustre | Google Cloud
- uv で PyTorch の環境構築を楽にする - OS の違いや GPU 有無を吸収する統一的な方法
- Tailscale 2025 秋 大型アプデを全部まとめる！
- Workload identity federation: better infra and CI/CD auth with Tailscale
- Terraform actions を試してみる。 #AWS
- 【GitHub Universe 2025 レポート】Self-hosted Runner をサポートした Copilot coding agent を試す（注意点あり） - Alternative Architecture DOJO
- Actions Runner Controller (ARC) を使用して構築された環境でのみ利用可能
- Ray on GKE: New features for AI scheduling and scaling | Google Cloud Blog
- GitHub - lancedb/lance: Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..
- Python の DataFrame 形式で読み込んだ後は、DuckDB でデータ処理が可能
- GitHub - apple/embedding-atlas: Embedding Atlas is a tool that provides interactive visualizations for large embeddings. It allows you to visualize, cross-filter, and search embeddings and metadata.
- GitHub - charmbracelet/crush: The glamourous AI coding agent for your favourite terminal 💘
- GitHub - MenaWANG/mlarena: Algorithm-agnostic machine learning toolkit for strealined model training, diagnostics, and optimization.
- GitHub - built-by-as/FleetCode: Light-weight control pane to run CLI coding agents(Claude Code, Codex) in parallel
- GitHub - Basekick-Labs/arc: High-performance time-series database. 2.4M metrics/sec + 950K logs/sec + 940K traces/sec + 940K events/sec. One endpoint, one protocol. DuckDB + Parquet + Arrow. AGPL-3.0
- Apache Parquet vs. Newer File Formats (BtrBlocks, FastLanes, Lance, Vortex) | by Dipankar Mazumdar | Sep, 2025
- Add LanguageServerManager, adding simultaneous multi-language support by opcode81 · Pull Request #704 · oraios/serena
- serena で複数言語のサポートが可能に
- GitHub - FarhanAliRaza/django-bolt: Rust-powered API framework for Django achieving 60k+ RPS. Uses Actix Web for HTTP, PyO3 for Python bridging, msgspec for serialization. Decorator-based routing with built-in auth and middleware.
- GitHub - tarpas/pytest-testmon: Selects tests affected by changed files. Executes the right tests first. Continuous test runner when used with pytest-watch.
- GitHub - Fission-AI/OpenSpec: Spec-driven development for AI coding assistants.
- GitHub - yonahd/kor: A Golang Tool to discover unused Kubernetes Resources
- GitHub - intellectronica/skillz: An MCP server for loading skills (shim for non-claude clients).
- GitHub - numman-ali/openskills: Universal skills loader for AI coding agents - npm i -g openskills
- GitHub - ywelsch/duckdb-psql: A piped SQL for DuckDB
- GitHub - ywelsch/duckdb-prql: PRQL as a DuckDB extension
- GitHub - lasantosr/intelli-shell: Like IntelliSense, but for shells
- GitHub - radareorg/iaito: Official radare2 GUI
- GitHub - intellectronica/ruler: Ruler — apply the same rules to all coding agents
- GitHub - superagent-ai/vibekit: Run Claude Code, Gemini, Codex — or any coding agent — in a clean, isolated sandbox with sensitive data redaction and observability baked in.
- DuckDB 1.4.2 時点では、json 書き出し時の hive partition はサポートされていない
- skypilot pools
- Deploy services using Compose | Cloud Run | Google Cloud Documentation
- GitHub - piskvorky/smart_open: Utils for streaming large files (S3, HDFS, gzip, bz2...)
- GitHub - zensical/zensical: A modern static site generator by the creators of Material for MkDocs
- GitHub - coderabbitai/git-worktree-runner: Bash-based Git worktree manager with editor and AI tool integration. Automates per-branch worktree creation, configuration copying, dependency installation, and workspace setup for efficient parallel development.
- GitHub - Burla-Cloud/burla: Easy to use cluster-compute software.
- gcp 上に ray クラスタを構築するのを簡略化してくれそう
- GitHub - antoniorodr/cronboard: A terminal-based dashboard for managing cron jobs locally and on servers.
- Production-Grade Python Logging Made Easier with Loguru
- GitHub - philippemerle/KubeDiagrams: Generate Kubernetes architecture diagrams from Kubernetes manifest files, kustomization files, Helm charts, helmfiles, and actual cluster state
- blog atlassian-engineering/inference-engine
- LLM Inference Economics from First Principles
- Breaking the Memory Barrier: How LMCache and CoreWeave Power Efficient LLM Inference for Cohere | LMCache Blog
- 量子化 × ファインチューニングはどの組み合わせから試すべき？ - Speaker Deck
- 650GB of Data (Delta Lake on S3). Polars vs DuckDB vs Daft vs Spark.
- 2023/04/28 dbt + duckdb でオープンデータの集計 - /home/by-natures/dev*
- LLM inference
- Deploy services from source code | Cloud Run | Google Cloud Documentation
- Distributed Inference Serving - vLLM, LMCache, NIXL and llm-d - Speaker Deck
- 2025 年 10 月の最新 OCR モデルの性能を比較する【Deepseek-OCR、PaddleOCR-VL 他】｜さしゃ
- yomitoku が強い
- 実践的パフォーマンスエンジニアリングによる AI 高速化 | 技術評論社
- 1Password Environments で.env ファイルを管理できるようになったので試してみた | DevelopersIO
-
1Password アプリの起動が必要
- cli 環境では利用できない
-
- Omarchy を触ったら、初めて Linux を触った日のワクワクが帰ってきた
- LLM の効率化を支えるアルゴリズム - Speaker Deck
- GitHub - randoneering/pgFirstAid: Easy to deploy, open source, postgresql function that provides a prioritized list of actions to take to improve stability and performance.
- GitHub - farion1231/cc-switch: A cross-platform desktop All-in-One assistant tool for Claude Code, Codex & Gemini CLI.
- Transactional Outbox と冪等性の実装ガイド #PHP
- Ability to use Free Models (0x credits) in Copilot CLI · Issue #32 · github/copilot-cli
- スマホから Youtube Shorts を見られないようにする - Speaker Deck
- Ruby 父 まつもとゆきひろ「出社させたがるのは、マネジャーの怠慢でしかない」 - エンジニア type | 転職 type
- GitHub - ariga/atlas: Manage your database schema as code
- GitHub - dragonflyoss/nydus: Nydus - the Dragonfly image service, providing fast, secure and easy access to container images.
- GitHub - addyosmani/gemini-cli-tips: Gemini CLI Tips and Tricks
- GitHub - larsbaunwall/vscode-copilot-bridge: A local interface for GitHub Copilot built on the official VS Code Language Models API
- GitHub - cirospaciari/socketify.py: Bringing Http/Https and WebSockets High Performance servers for PyPy3 and Python3
- ベンチマークでは Go の gin や Bun との比較もあり、高速に動作する模様。ベンチマークの runtime は pypy を使っており、Python の場合のパフォーマンスが気になる
