mrexodia / ida-pro-mcp
AI-powered reverse engineering assistant that bridges IDA Pro with language models through MCP.
https://github.com/mrexodia/ida-pro-mcp
AI-powered reverse engineering assistant that bridges IDA Pro with language models through MCP.
https://github.com/mrexodia/ida-pro-mcp
GitHub
GitHub - mrexodia/ida-pro-mcp: AI-powered reverse engineering assistant that bridges IDA Pro with language models through MCP.
AI-powered reverse engineering assistant that bridges IDA Pro with language models through MCP. - mrexodia/ida-pro-mcp
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GeoEq
Geotechnical engineering, solved in Python. 170+ validated functions for soil mechanics, SPT, CPT, bearing capacity, settlement, liquefaction & slope stability. Apache 2.0.
https://github.com/geoeq/geoeq
Geotechnical engineering, solved in Python. 170+ validated functions for soil mechanics, SPT, CPT, bearing capacity, settlement, liquefaction & slope stability. Apache 2.0.
https://github.com/geoeq/geoeq
GitHub
GitHub - geoeq/geoeq: Geotechnical engineering, solved in Python. 170+ validated functions for soil mechanics, SPT, CPT, bearing…
Geotechnical engineering, solved in Python. 170+ validated functions for soil mechanics, SPT, CPT, bearing capacity, settlement, liquefaction & slope stability. Apache 2.0. - geoeq/geoeq
Setting Django's DEBUG safely
Deploying Django with DEBUG=True exposes your app to attackers. Learn why it's risky and how to fail closed so DEBUG=False stays the safe default.
https://lincolnloop.com/blog/setting-djangos-debug-safely/
Deploying Django with DEBUG=True exposes your app to attackers. Learn why it's risky and how to fail closed so DEBUG=False stays the safe default.
https://lincolnloop.com/blog/setting-djangos-debug-safely/
Lincoln Loop
Setting Django's DEBUG safely | Lincoln Loop
Deploying Django with DEBUG=True exposes your app to attackers. Learn why it's risky and how to fail closed so DEBUG=False stays the safe default.
👍2
ADR
ADR secures enterprise AI agents through observability, security benchmarking, and threat detection. Deployed at Uber.
https://github.com/uber/ADR
ADR secures enterprise AI agents through observability, security benchmarking, and threat detection. Deployed at Uber.
https://github.com/uber/ADR
GitHub
GitHub - uber/ADR: ADR secures enterprise AI agents through observability, security benchmarking, and threat detection. Deployed…
ADR secures enterprise AI agents through observability, security benchmarking, and threat detection. Deployed at Uber. - uber/ADR
Projects I Wouldn't Use Python For in 2026
A longtime Python developer reflects on decades of using Python for almost everything, then explains why it is no longer always his first choice and what he often uses instead. It also covers where Python still shines and why it remains an important part of his toolkit.
https://menno.io/presentations/not-python-2026/index.html#/
A longtime Python developer reflects on decades of using Python for almost everything, then explains why it is no longer always his first choice and what he often uses instead. It also covers where Python still shines and why it remains an important part of his toolkit.
https://menno.io/presentations/not-python-2026/index.html#/
👍2
LoopX
Lightweight loop engineering state kernel for long-running AI agent teams. Agent-loop agnostic across Codex, Claude Code, and other coding agents, with durable goals, quota-aware auto-wake, executable todos, evidence logs, and verifiable handoffs.
https://github.com/huangruiteng/loopx
Lightweight loop engineering state kernel for long-running AI agent teams. Agent-loop agnostic across Codex, Claude Code, and other coding agents, with durable goals, quota-aware auto-wake, executable todos, evidence logs, and verifiable handoffs.
https://github.com/huangruiteng/loopx
GitHub
GitHub - huangruiteng/loopx: Lightweight loop engineering state kernel for long-running AI agent teams. Agent-loop agnostic across…
Lightweight loop engineering state kernel for long-running AI agent teams. Agent-loop agnostic across Codex, Claude Code, and other coding agents, with durable goals, quota-aware auto-wake, executa...
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Voice-Pro
An AI-powered web application for speech recognition, translation, and dubbing.
https://github.com/abus-aikorea/voice-pro
An AI-powered web application for speech recognition, translation, and dubbing.
https://github.com/abus-aikorea/voice-pro
GitHub
GitHub - abus-aikorea/voice-pro: Gradio WebUI for creators and developers, featuring key TTS (Edge-TTS, kokoro) and zero-shot Voice…
Gradio WebUI for creators and developers, featuring key TTS (Edge-TTS, kokoro) and zero-shot Voice Cloning (E2 & F5-TTS, CosyVoice), with Whisper audio processing, YouTube download, Demucs ...
❤1
smevals
A framework for running evals against small (and large) models
https://github.com/prime-radiant-inc/smevals
A framework for running evals against small (and large) models
https://github.com/prime-radiant-inc/smevals
GitHub
GitHub - prime-radiant-inc/smevals: A framework for running evals against small (and large) models
A framework for running evals against small (and large) models - prime-radiant-inc/smevals
👎2
code_puppy
The sassy AI code agent that makes IDEs look outdated.
https://github.com/mpfaffenberger/code_puppy
The sassy AI code agent that makes IDEs look outdated.
https://github.com/mpfaffenberger/code_puppy
GitHub
GitHub - mpfaffenberger/code_puppy: Agentic AI for writing code
Agentic AI for writing code. Contribute to mpfaffenberger/code_puppy development by creating an account on GitHub.
Why dict[str, Any] Slowly Destroys Your Code
A Python booking system is refactored from loose dictionaries into a stronger domain model using dataclasses, enums, and value objects. The video shows where stronger types improve maintainability and where keeping a simple string is still the better choice.
https://www.youtube.com/watch?v=lM7zWJRrRtg
A Python booking system is refactored from loose dictionaries into a stronger domain model using dataclasses, enums, and value objects. The video shows where stronger types improve maintainability and where keeping a simple string is still the better choice.
https://www.youtube.com/watch?v=lM7zWJRrRtg
YouTube
Why dict[str, Any] Slowly Destroys Your Code
🧱 Build software that lasts. Join the Software Design Mastery waiting list → https://arjan.codes/mastery.
In this video, I refactor a Python booking system from loose dictionaries into a strict domain model using dataclasses, enums, and value objects. I…
In this video, I refactor a Python booking system from loose dictionaries into a strict domain model using dataclasses, enums, and value objects. I…
👎1
Antra
A desktop music library builder that turns Spotify, Youtube Music Apple Music, Amazon Music, Tidal, Qobuz, and Deezer links into fully tagged local library in FLAC, ALAC, AAC, or MP3.
https://github.com/anandprtp/Antra
A desktop music library builder that turns Spotify, Youtube Music Apple Music, Amazon Music, Tidal, Qobuz, and Deezer links into fully tagged local library in FLAC, ALAC, AAC, or MP3.
https://github.com/anandprtp/Antra
GitHub
GitHub - anandprtp/Antra: A desktop music library builder that turns Spotify, Youtube Music Apple Music, Amazon Music, Tidal, Qobuz…
A desktop music library builder that turns Spotify, Youtube Music Apple Music, Amazon Music, Tidal, Qobuz, and Deezer links into fully tagged local library in FLAC, ALAC, AAC, or MP3. - anandprtp/A...
labs-OO-Agents
NVIDIA Object Oriented Agents: the Pythonic way to build AI Agents.
https://github.com/nvidia-nemo/labs-OO-Agents
NVIDIA Object Oriented Agents: the Pythonic way to build AI Agents.
https://github.com/nvidia-nemo/labs-OO-Agents
GitHub
GitHub - NVIDIA-NeMo/labs-OO-Agents: NVIDIA Object Oriented Agents: the Pythonic way to build AI Agents.
NVIDIA Object Oriented Agents: the Pythonic way to build AI Agents. - NVIDIA-NeMo/labs-OO-Agents
❤2
Django 6.1 released
Django 6.1 is now available with features including model field fetch modes, database-level ForeignKey delete options, and dictionary-based email settings. Django 6.0 has ended mainstream support and will receive only security and data-loss fixes until April 2027.
https://www.djangoproject.com/weblog/2026/aug/05/django-61-released/
Django 6.1 is now available with features including model field fetch modes, database-level ForeignKey delete options, and dictionary-based email settings. Django 6.0 has ended mainstream support and will receive only security and data-loss fixes until April 2027.
https://www.djangoproject.com/weblog/2026/aug/05/django-61-released/
Django Project
Django 6.1 released
Posted by Jacob Walls on Aug. 5, 2026
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Categorization with NLP
A practical look at building grocery categorization without machine learning, using NLP techniques such as stemming, n-grams, syllable splitting, and spell checking. The author shows how a hand-crafted Python algorithm handles messy real-world inputs and edge cases when training data is scarce.
https://softwaremaniacs.org/blog/2026/07/30/categorization-with-nlp/en/
A practical look at building grocery categorization without machine learning, using NLP techniques such as stemming, n-grams, syllable splitting, and spell checking. The author shows how a hand-crafted Python algorithm handles messy real-world inputs and edge cases when training data is scarce.
https://softwaremaniacs.org/blog/2026/07/30/categorization-with-nlp/en/
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How to Conquer Concurrency in Python
A practical guide to Python concurrency that builds from OS fundamentals, processes, threads, race conditions, and the GIL to choosing between asyncio, threading, and multiprocessing. It also explains concurrency vs. parallelism, CPU vs. GPU tradeoffs, and how profiling and strong mental models help avoid common performance mistakes.
https://www.youtube.com/watch?v=chrOym38pw4
A practical guide to Python concurrency that builds from OS fundamentals, processes, threads, race conditions, and the GIL to choosing between asyncio, threading, and multiprocessing. It also explains concurrency vs. parallelism, CPU vs. GPU tradeoffs, and how profiling and strong mental models help avoid common performance mistakes.
https://www.youtube.com/watch?v=chrOym38pw4
YouTube
How to Conquer Concurrency in Python
Concurrency is arguably the hardest concept for Python developers, because the important ideas already assume you understand the operating system underneath. In this chapter, we start from the kernel and system calls, build up processes, threads, race conditions…
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