token-optimizer

Find the ghost tokens. Fix them. Survive compaction. Avoid context quality decay.

https://github.com/alexgreensh/token-optimizer

foundry

Ship full-stack agentic systems the way they're meant to be built - production-ready, secure by default, with the developer experience modern Python deserves.

https://github.com/promptise-com/foundry

z-lab / dflash

DFlash: Block Diffusion for Flash Speculative Decoding

https://github.com/z-lab/dflash

Using Bag-of-Words With PyCharm

Let's unpack how the bag-of-words model works, explore the techniques it uses to convert text into numerical representations, and look at where it fits relative to more modern NLP approaches.

https://blog.jetbrains.com/pycharm/2026/04/using-bag-of-words-with-pycharm/

bluerock

Runtime visibility for Python MCP servers. Captures tool calls, session lifecycle, module imports (SHA-256), and subprocess execution as structured NDJSON. No code changes. Apache 2.0

https://github.com/bluerock-io/bluerock

Fast Mesh Booleans in Python

Learn how to perform fast mesh boolean operations in Python. Union, intersection, and difference at interactive speed on million-polygon meshes. One pip install, NumPy arrays in and out.

https://polydera.com/tutorials/fast-mesh-booleans-in-python

Boosting multimodal inference performance by >10% with a single Python dictionary

Multimodal models are promising, but inference engines haven't been optimized for them yet. We profiled SGLang’s scheduler on a multimodal workload and identified an opportunity to replace expensive book-keeping around shared GPU memory with a simple cache lookup. Throughput and latency both improved over 10% on our target workload.

https://modal.com/blog/boosting-multimodal-inference-performance-by-greater-than-10-with-a-single-python-dictionary

auto-round

A SOTA quantization algorithm for high-accuracy low-bit LLM inference, seamlessly optimized for CPU/XPU/CUDA, with multi-datatype support and full compatibility with vLLM, SGLang, and Transformers.

https://github.com/intel/auto-round

Pymetrica, a codebase analysis tool

Pymetrica is a static analysis tool that parses Python source code using the AST and evaluates metrics used to assess complexity, maintainability, and architectural stability.

https://github.com/JuanJFarina/pymetrica

Mastering Python Logging Format: A Complete Guide for Developers

Set up Python logging format strings, custom formatters, and structured JSON output with copy-paste code examples for every major use case.

https://middleware.io/blog/python-logging-format/

Mirage

A Unified Virtual Filesystem For AI Agents.

https://github.com/strukto-ai/mirage

How we accelerated transpilation by compiling SQLGlot with mypyc

Fivetran accelerated SQLGlot, a pure Python SQL parser/transpiler, by 5x through compiling 100+ modules into C extensions with mypyc, without rewriting it in Rust. Key optimizations included sentinel tokens, native i64 integers, dispatch tables, and upstream mypyc primitives for string operations, resulting in 3.9 to 5x speedups across the tokenizer, parser, and generator.

https://www.fivetran.com/blog/how-we-accelerated-transpilation-by-compiling-sqlglot-with-mypyc

ShadowBroker

Shadowbroker is a decentralized OSINT platform aggregating real-time data from 60+ feeds like private jets, spy satellites, and seismic events into a unified dashboard.

https://github.com/BigBodyCobain/Shadowbroker

ProgramBench

Can Language Models Rebuild Programs From Scratch? Given only a compiled binary and its documentation, AI agents must architect and implement a complete codebase that reproduces the original program's behavior.

https://programbench.com/