Enforce Business Logic in the Database with Django
Use transactions, locks, and constraints in Django to enforce business logic in the database.
https://lincolnloop.com/blog/enforce-business-logic-in-the-database-with-django/
Use transactions, locks, and constraints in Django to enforce business logic in the database.
https://lincolnloop.com/blog/enforce-business-logic-in-the-database-with-django/
Lincoln Loop
Enforce Business Logic in the Database with Django | Lincoln Loop
Use transactions, locks, and constraints in Django to enforce business logic in the database.
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
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
Sebastian Raschka, PhD
Components of A Coding Agent
How coding agents use tools, memory, and repo context to make LLMs work better in practice
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
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
GitHub
GitHub - JuliusBrussee/caveman: 🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking…
🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman - JuliusBrussee/caveman
profiling-explorer
Table-based exploration tool for Python profiling data (pstats files).
https://github.com/adamchainz/profiling-explorer
Table-based exploration tool for Python profiling data (pstats files).
https://github.com/adamchainz/profiling-explorer
GitHub
GitHub - adamchainz/profiling-explorer: Table-based exploration tool for Python profiling data (pstats files).
Table-based exploration tool for Python profiling data (pstats files). - adamchainz/profiling-explorer
code-review-graph
Local knowledge graph for Claude Code. Builds a persistent map of your codebase so Claude reads only what matters - 6.8× fewer tokens on reviews and up to 49× on daily coding tasks.
https://github.com/tirth8205/code-review-graph
Local knowledge graph for Claude Code. Builds a persistent map of your codebase so Claude reads only what matters - 6.8× fewer tokens on reviews and up to 49× on daily coding tasks.
https://github.com/tirth8205/code-review-graph
GitHub
GitHub - tirth8205/code-review-graph: Local knowledge graph for Claude Code. Builds a persistent map of your codebase so Claude…
Local knowledge graph for Claude Code. Builds a persistent map of your codebase so Claude reads only what matters — 6.8× fewer tokens on reviews and up to 49× on daily coding tasks. - tirth8205/cod...
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
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
GitHub
GitHub - Netflix/void-model
Contribute to Netflix/void-model development by creating an account on GitHub.
❤1
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
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
Substack
I Replaced Kafka, Redis, and RabbitMQ With One Tool. Here’s What I Learned.
The one tool your backend stack has been missing
🔥1
dj-signals-panel
Display registered Django signals and receivers, showing what fires and where.
https://github.com/yassi/dj-signals-panel
Display registered Django signals and receivers, showing what fires and where.
https://github.com/yassi/dj-signals-panel
GitHub
GitHub - yassi/dj-signals-panel: Display registered Django signals and receivers, showing what fires and where.
Display registered Django signals and receivers, showing what fires and where. - yassi/dj-signals-panel
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/
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/
iamtrask.github.io
Decentralized AI in 50 Lines of Python - i am trask
A machine learning craftsmanship blog.
I built a civic transparency platform with FastAPI that aggregates 40+ government APIs
https://www.reddit.com/r/Python/comments/1sb6vly/i_built_a_civic_transparency_platform_with/
https://www.reddit.com/r/Python/comments/1sb6vly/i_built_a_civic_transparency_platform_with/
Reddit
From the Python community on Reddit
Explore this post and more from the Python community
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
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
YouTube
Qdrant: Perfect Vector Store For RAG in Python
💻️ Need some help with a project or some consulting? Contact me here: https://www.neuralnine.com/services
🐍 The Python Bible Book: https://www.neuralnine.com/books/
💻 The Algorithm Bible Book: https://www.neuralnine.com/books/
🐍 The Python Bible Book: https://www.neuralnine.com/books/
💻 The Algorithm Bible Book: https://www.neuralnine.com/books/
apfel
Apple Intelligence from the command line. On-device LLM via FoundationModels framework. No API keys, no cloud, no dependencies.
https://github.com/Arthur-Ficial/apfel
Apple Intelligence from the command line. On-device LLM via FoundationModels framework. No API keys, no cloud, no dependencies.
https://github.com/Arthur-Ficial/apfel
GitHub
GitHub - Arthur-Ficial/apfel: The free AI already on your Mac. CLI tool, OpenAI-compatible server, and interactive chat — all on…
The free AI already on your Mac. CLI tool, OpenAI-compatible server, and interactive chat — all on-device via Apple Intelligence. No API keys, no cloud, no downloads. - Arthur-Ficial/apfel
SentrySearch
Semantic search over video footage. Type what you're looking for, get a trimmed clip back.
https://github.com/ssrajadh/sentrysearch
Semantic search over video footage. Type what you're looking for, get a trimmed clip back.
https://github.com/ssrajadh/sentrysearch
GitHub
GitHub - ssrajadh/sentrysearch: Semantic search over videos using Gemini Embedding 2 or Qwen3-VL.
Semantic search over videos using Gemini Embedding 2 or Qwen3-VL. - ssrajadh/sentrysearch
OpenHarness
OpenHarness delivers core lightweight agent infrastructure: tool-use, skills, memory, and multi-agent coordination.
https://github.com/HKUDS/OpenHarness
OpenHarness delivers core lightweight agent infrastructure: tool-use, skills, memory, and multi-agent coordination.
https://github.com/HKUDS/OpenHarness
GitHub
GitHub - HKUDS/OpenHarness: "OpenHarness: Open Agent Harness with a Built-in Personal Agent--Ohmo!"
"OpenHarness: Open Agent Harness with a Built-in Personal Agent--Ohmo!" - HKUDS/OpenHarness
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/
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/
Docking
A lightweight, feature-rich dock for Linux written in Python with GTK 3 and Cairo.
https://github.com/edumucelli/docking
A lightweight, feature-rich dock for Linux written in Python with GTK 3 and Cairo.
https://github.com/edumucelli/docking
GitHub
GitHub - edumucelli/docking: A lightweight, feature-rich dock for Linux written in Python with GTK 3 and Cairo
A lightweight, feature-rich dock for Linux written in Python with GTK 3 and Cairo - edumucelli/docking