A Tiny Compiler for Data-Parallel Kernels
A tiny compiler in Python that transforms data-parallel kernels by converting loops into vectorized SIMD/SIMT operations.
A tiny compiler in Python that transforms data-parallel kernels by converting loops into vectorized SIMD/SIMT operations.
Explores how engineers' specializations shape project outcomes, using dashboard examples to show backend vs frontend approaches.
Using Z3/Python to solve a chess puzzle: place all pieces on a 6x5 board with no attacks.
Guide to creating your first project with GitPilot, an open-source multi-agent AI coding assistant that runs on your machine.
Build an agentic workflow from a single sentence using Matrix Designer, Builder, LangFlow, and OllaBridge Cloud for beginners.
Explores how coding agents change software library documentation, focusing on making libraries agent-friendly rather than human-friendly.
A talk exploring PostgreSQL generated columns by example, covering virtual vs stored behavior, performance trade-offs, and Django integration.
PyTheory's biggest release shipped from a phone on vacation, adding ragas, harmony theory, and audio engine upgrades.
A war story about refactoring a startup's billing system from a janky Python script to a scalable solution, highlighting tech debt and engineering challenges.
Explains how checking three examples can prove a polynomial identity, using pentagonal and triangular numbers.
How LLMs like Claude inspired a developer to add a Talks page to his personal site after ChatGPT hallucinated a feature.
A technical case study on using Pluggy, a Python library for building plugin systems, with code examples and architectural insights.
Matrix Builder (mb) gives AI coders a contract-based framework to enforce rules, version changes, and prevent chaotic code edits.
PyTheory Playground is a browser-based music theory tool that models tones, scales, chords, and fretboards with live computation and no installation required.
A retrospective on building the Responder Python web framework, its place in the async web ecosystem, and lessons learned.
Analyzing an optimization solver for Airbus A380 seating arrangements to maximize airline revenue using Python and OR-Tools.
How auto dependency updates broke production and how to prevent it with version pinning and AI-assisted upgrades.
Guide to implementing Model Context Protocol (MCP) in a lakehouse architecture with Python, covering specification, server building, and deployment.
Overview of modern Python tools for Apache Iceberg, including PyIceberg, IceFrame, and CLI for metadata management.
A developer shares lessons learned from building a new Go project (watgo) with LLM agents, emphasizing code review and human oversight.