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In-Kernel Broadcast Optimization: Co-Designing Kernels for RecSys Inference In-Kernel Broadcast Optimization (IKBO) eliminates redundant user-embedding replication by fusing broadcast logic directly into interaction kernels, significantly reducing memory bandwidth and compute waste. This co-design approach delivers up to a two-thirds reduction in latency across Meta's recommendation stack, optimized for high-performance hardware like NVIDIA H100 and Meta’s MTIA. https://pytorch.org/blog/in-kernel-broadcast-optimization-co-designing-kernels-for-recsys-inference/

OpenSwarm Claude code for everything except coding. https://github.com/VRSEN/OpenSwarm

aidlc-workflows AI-Driven Life Cycle (AI-DLC) adaptive workflow steering rules for AI coding agents. https://github.com/awslabs/aidlc-workflows

DRY Often Makes Your Code Worse A DRY refactor can make code worse when it removes duplication by hiding different behaviors behind flags and shared abstractions. Better refactoring focuses on separating responsibilities and making behavior clear, not just making the code look smaller. https://www.youtube.com/watch?v=GmlZBdKhl9Y

Labb - UI components for Django This video looks at labb - a UI component library for Django apps that builds on top of TailwindCSS, DaisyUI, django-cotton and Alpine.js. This library has over 70 components that can be dropped into Django projects, and makes it easy to add custom themes, for example using DaisyUI Theme Generator. https://www.youtube.com/watch?v=ZZd7cvbJ-1w

The Simplest MCP Example Possible in Python The post shows the simplest Python example of MCP (Model Context Protocol) for connecting a local LLM like Llama 3.2 to tools. It uses fastmcp and ollama packages with two scripts: mcpserver.py for time/date tools and ollamaclient.py to run the chat loop. https://inventwithpython.com/blog/basic-mcp-python-example.html

Introducing Retrace: Record Production Python. Debug It Backwards. Retrace introduces deterministic record-replay debugging for Python, allowing production executions to be recorded with very low overhead and replayed locally in VS Code with reverse debugging support. Instead of relying on logs or reproducing failures, it records the boundary between application code and nondeterministic systems like APIs, databases, threads, and file I/O, enabling deve... https://retracesoftware.com/blog/introducing-retrace/

Family Orienting Python Frozenset Dependent Type Theory The post models dependent type theory in plain Python by treating types as finite “families,” or dictionaries from contexts to sets, rather than as standalone bare values. The key idea is that full judgments like Γ |- A should be interpreted as mappings, which makes contexts, weakening, terms, Sigma/Pi types, and identity types easier to represent uniformly. https://www.philipzucker.com/dtt_python_family/

Create a 90s GeoCities style website in seconds (Python) https://pypi.org/project/create-geocities-app/

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/

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

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

I've been teaching intro Python for 3 years i notice the same weaknesses in almost every student. Am i missing something in how I'm explaining it? https://www.reddit.com/r/learnpython/comments/1tbtrtv/ive_been_teaching_intro_python_for_3_years_i/

Mirage A Unified Virtual Filesystem For AI Agents. https://github.com/strukto-ai/mirage

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/

Wrap Go binaries in Python wheels https://github.com/simonw/go-to-wheel

Python Hub Weekly Digest for 2026-05-17 https://pythonhub.dev/digest/2026-05-17/

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

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