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News & links about Python programming.
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Components of A Coding Agent

The post breaks down coding agents into a few core parts: a model, tools, instructions, and a loop for planning, acting, and verifying. Its main point is that good coding agents are less about raw model power and more about how well they coordinate context, tool use, and iterative feedback.

https://magazine.sebastianraschka.com/p/components-of-a-coding-agent
caveman

A Claude Code skill/plugin and Codex plugin that makes agent talk like caveman - cutting ~75% of output tokens while keeping full technical accuracy. Plus a companion tool that compresses your memory files to cut ~45% of input tokens every session.

https://github.com/JuliusBrussee/caveman
void-model

An open-source video editing model that removes objects from footage and also models the scene’s resulting physical interactions, not just the missing pixels.

https://github.com/Netflix/void-model
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I Replaced Kafka, Redis, and RabbitMQ With One Tool. Here’s What I Learned.

The post’s core idea is that NATS JetStream can replace separate Kafka, Redis, and RabbitMQ setups by covering streaming, queueing, and pub/sub in one system. It argues this can simplify architecture and reduce the operational overhead of running multiple messaging tools for different workloads.

https://scalebites.substack.com/p/i-replaced-kafka-redis-and-rabbitmq
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Decentralized AI in 50 Lines of Python

A peer-to-peer AI that answers your friends' messages using local data and privacy controls.

https://iamtrask.github.io/2026/04/07/decentralized-ai-in-50-lines/
Qdrant: Perfect Vector Store For RAG in Python

This tutorial demonstrates how to use Qdrant, a specialized vector search engine, to combine semantic similarity with hard metadata filtering in Python for more precise RAG applications

https://www.youtube.com/watch?v=DWP_-jMTNH0
How to Actually use Python's heapq for Kth Largest Problems

Learn how to efficiently find the Kth largest element using Python's heapq module with the Min heap of size K strategy.

https://looppass.mindmeld360.com/blog/python-heapq-kth-largest/
Django Table, Filter and Export With Htmx

The article shows how to combine HTMX, django-tables2, and django-filter to build a reusable “universal table” that supports filtering and exporting in a single view without custom JavaScript. The key idea is consolidating table, filter, and export logic into one composable backend pattern, enabling cleaner views and dynamic UI updates via partial page reloads.

https://fundor333.com/post/2026/django-table-filter-export-with-htmx/