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๐Ÿน Latest

seomachine
A specialized Claude Code workspace for creating long-form, SEO-optimized blog content for any business. This system helps you research, write, analyze, and optimize content that ranks well and serves your target audience.

Unit testing your codeโ€™s performance, part 2: Catching speed changes
Got benchmarks in CI? You can (maybe) use tests to catch performance changes even earlier.

Python Hub Weekly Digest for 2026-03-15

Serving Private Files with Django and S3
The article shows how to securely serve private user files stored in Amazon S3 from a Django app by keeping the bucket private and generating time-limited pre-signed URLs when a user is authorized to access a file. This approach lets S3 handle file delivery directly while Django controls access, avoiding slow proxying through the app server and making the system more scalable.

MedKit
MedKit is a high-performance, unified SDK that transforms fragmented medical APIs into a single, programmable platform. It provides a clean interface for OpenFDA, PubMed, and ClinicalTrials.gov, augmented with a clinical intelligence layer and relationship mapping.


๐Ÿ’– Most Popular in the Last Two Weeks

knock-knock
A Fun, Live View of SSH Break-in Attempts.

github / awesome-copilot
Community-contributed instructions, prompts, and configurations to help you make the most of GitHub Copilot.

Guido van Rossum Interviews Thomas Wouters (Python Core Dev)

Python Essentials for AI Agents โ€“ Tutorial
This Python course will help you master the technical stack behind autonomous intelligence. This course is designed to take you from the core syntax of Python through the complexities of data handling and API integration, culminating in the deployment of sophisticated Large Language Models. You will learn to write code and to architect systems that can reason, use tools, and solve real-w...

The bug fix paradox: why AI agents keep breaking working code
The article explains that when you ask an AI coding agent to fix a bug, it often makes unnecessary changes to working code because it does not explicitly know which behavior should stay the same and which should change, leading to regressions. It then proposes a property-aware code evolution approach that defines a clear bug condition and corresponding preservation properties so the fix ...


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