Agent Hooks: Deterministic Control for Agent Workflows

The post is about agent hooks as a control layer that makes AI behavior more deterministic by enforcing rules at specific lifecycle points, instead of relying on prompts alone. It emphasizes using hooks for policy enforcement, validation, and observability so teams can block bad actions, add guardrails, and make agent workflows more production-safe.

https://nader.substack.com/p/agent-hooks-deterministic-control

Feloxi

Self-hosted monitoring for Python task queues. Live dashboards, searchable task history, and alerting that fires.

https://github.com/thesaadmirza/feloxi

HKUDS / ViMax

"ViMax: Agentic Video Generation (Director, Screenwriter, Producer, and Video Generator All-in-One)"

https://github.com/HKUDS/ViMax

LLM Evaluation and AI Observability for Agent Monitoring

A guide on LLM evaluation and AI observability, explaining how to monitor, test, and deploy reliable AI agents in production with confidence and control.

https://blog.jetbrains.com/pycharm/2026/05/llm-evaluation-and-ai-observability-for-agent-monitoring/

Let’s Fix Bloated Python Classes Once and For All

The video demonstrates how a single Python class can gradually become overloaded with unrelated responsibilities like validation, data processing, and model training, making the code harder to maintain and reason about. It then walks through refactoring the code into smaller, focused components while introducing a practical framework for deciding what logic should and should not belong i...

https://www.youtube.com/watch?v=F5Av5yDGSQs

Headroom

Headroom compresses everything your AI agent reads - tool outputs, logs, RAG chunks, files, and conversation history - before it reaches the LLM. Same answers, fraction of the tokens.

https://github.com/chopratejas/headroom

Decepticon

Autonomous Hacking Agent for Red Team.

https://github.com/PurpleAILAB/Decepticon

Remove-AI-Watermarks

Remove visible and invisible AI watermarks from images generated by Google Gemini (Nano Banana), ChatGPT / DALL-E, Stable Diffusion, Adobe Firefly, Midjourney, and other AI models.

https://github.com/wiltodelta/remove-ai-watermarks

Bridging Python's Logging Module to OpenTelemetry (Complete Guide)

This guide walks through using the OpenTelemetry Python SDK's LoggingHandler to bridge Python's built-in logging module with an OpenTelemetry-compliant pipeline without changing your existing log statements. It demonstrates how to configure the handler (via dictConfig), map standard log records into structured OTel fields, and automatically correlate logs with active traces to route them...

https://www.dash0.com/guides/opentelemetry-logging-python

Articraft

An Agentic System for Scalable Articulated 3D Asset Generation.

https://github.com/mattzh72/articraft

claude-for-legal

A suite of plugins for legal workflows.

https://github.com/anthropics/claude-for-legal

Agent Evaluation: A Detailed Guide

Best practices and common patterns for effectively evaluating AI agents.

https://cameronrwolfe.substack.com/p/agent-evals

google / skills

Agent Skills for Google products and technologies

https://github.com/google/skills

Katharos

A library providing useful types and functions for functional programming in Python.

https://github.com/kamalfarahani/katharos

ESPectre

Motion detection system based on Wi-Fi spectre analysis (CSI), with native Home Assistant integration via ESPHome.

https://github.com/francescopace/espectre

Shrink Your Python Container in One Command with SlimToolkit

Use SlimToolkit to shrink a Python container by half in one command. No Dockerfile changes. Walkthrough on a chatbot with common edge cases and fixes.

https://codecut.ai/shrink-python-container-slimtoolkit/

Anthropic-Cybersecurity-Skills

754 production-grade cybersecurity skills · 26 security domains · 5 framework mappings · 26+ AI platforms.

https://github.com/mukul975/Anthropic-Cybersecurity-Skills

When Python manual wiring turns into copy-paste architecture

A small typed dependency injection approach for apps that outgrow copy-pasted constructors but do not need a full DI framework.

https://vshulcz.hashnode.dev/when-python-manual-wiring-turns-into-copy-paste-architecture

What types of exceptions should you catch?

The trickiest programming bugs are often caused by catching exceptions that you didn't mean to catch or handling exceptions in ways that obfuscate the actual error that's occurring. Which exceptions should you catch and which should you leave unhandled?

https://www.pythonmorsels.com/what-types-of-exceptions-should-you-catch/