apowerb

The open-source agentic framework to build, orchestrate, and operate production AI agents.

https://github.com/apowerb/apowerb

Speeding Up a Python Service with CinderX: JIT and Static Typing

Timofei Ivankov explores how CinderX’s JIT compiler and Static Python can accelerate real-world Python services, comparing their internals and performance with CPython 3.14’s experimental JIT. Benchmarks show that combining Static Python with JIT compilation increased a CPU-bound endpoint’s throughput from 140 to 250 requests per second, while NumPy-heavy workloads saw no benefit and gar...

https://dev.to/deadlovelll/speeding-up-a-python-service-with-cinderx-jit-and-static-typing-53bh

since-cutoff: which APIs of your pinned Python dependencies changed after your coding model's training cutoff

Diffs each pinned dependency's API against the release current at the model's cutoff and writes AGENTS.md notes. No model calls.

https://github.com/MohammadHijjawi97/since-cutoff

Python 3.15 Is About to Change Python

Python 3.15 is almost here! This video breaks down 10 of the most interesting new features and changes coming to Python 3.15, using real Python code and visual explanations.

https://www.youtube.com/watch?v=rxaDxyPUoSY

How to Build AI Agents in Python - 3 Ways

This video compares three Python frameworks for building more capable AI agents that can navigate codebases, edit files, and run commands: CrewAI, the OpenAI Agents SDK, and LangGraph. It walks through building an agent with each framework and compares their approaches to orchestration, tools, workflows, and choosing the right framework for a project.

https://www.youtube.com/watch?v=-RTgK6qX6A8