CQRS in Python: Clean Reads, Clean Writes
When your FastAPI list endpoint starts pulling full documents just to compute derived fields, it’s usually a sign your read and write models are drifting apart. This video demonstrates how to refactor a tickets API (FastAPI + MongoDB) using CQRS, explain projections and eventual consistency, and show when this architecture is worth the added complexity, and when it’s not.
https://www.youtube.com/watch?v=Spp-uzXzzdE
When your FastAPI list endpoint starts pulling full documents just to compute derived fields, it’s usually a sign your read and write models are drifting apart. This video demonstrates how to refactor a tickets API (FastAPI + MongoDB) using CQRS, explain projections and eventual consistency, and show when this architecture is worth the added complexity, and when it’s not.
https://www.youtube.com/watch?v=Spp-uzXzzdE
YouTube
CQRS in Python: Clean Reads, Clean Writes
💡 Check out MongoDB Atlas: https://www.mongodb.com/atlas.
When your FastAPI list endpoint starts pulling full documents just to compute derived fields, it’s usually a sign your read and write models are drifting apart.
In this video, I refactor a tickets…
When your FastAPI list endpoint starts pulling full documents just to compute derived fields, it’s usually a sign your read and write models are drifting apart.
In this video, I refactor a tickets…
light weight MCP for code indexing that just works
A super light-weight, effective embedded MCP that understand and searches your codebase that just works!Instant token saving by 70% and improves speed. No API Key, completely free.
https://github.com/cocoindex-io/cocoindex-code
A super light-weight, effective embedded MCP that understand and searches your codebase that just works!Instant token saving by 70% and improves speed. No API Key, completely free.
https://github.com/cocoindex-io/cocoindex-code
GitHub
GitHub - cocoindex-io/cocoindex-code: A super light-weight embedded code search engine CLI (AST based) that just works - saves…
A super light-weight embedded code search engine CLI (AST based) that just works - saves 70% token and improves speed for coding agent 🌟 Star if you like it! - cocoindex-io/cocoindex-code
Type-based alias analysis in the Toy Optimizer
The post explains the basics of Type Based Alias Analysis (TBAA), a compiler optimization that uses type information to determine whether different memory accesses can alias, enabling more aggressive optimization. It walks through a simple “toy” example to make the concept concrete and shows how TBAA improves generated code by removing unnecessary load and store barriers.
https://bernsteinbear.com/blog/toy-tbaa/
The post explains the basics of Type Based Alias Analysis (TBAA), a compiler optimization that uses type information to determine whether different memory accesses can alias, enabling more aggressive optimization. It walks through a simple “toy” example to make the concept concrete and shows how TBAA improves generated code by removing unnecessary load and store barriers.
https://bernsteinbear.com/blog/toy-tbaa/
Max Bernstein
Type-based alias analysis in the Toy Optimizer
Another entry in the Toy Optimizer series.
model-context-shell
Unix-style pipelines for MCP tools - compose complex tool workflows as a single tool call.
https://github.com/StacklokLabs/model-context-shell
Unix-style pipelines for MCP tools - compose complex tool workflows as a single tool call.
https://github.com/StacklokLabs/model-context-shell
GitHub
GitHub - StacklokLabs/model-context-shell: Unix-style pipelines for MCP. Deterministic tool calls.
Unix-style pipelines for MCP. Deterministic tool calls. - StacklokLabs/model-context-shell
Visual Introduction to PyTorch
This article provides a visual, intuition-first guide to PyTorch, focusing on how tensors and computational graphs enable automatic differentiation. It strips away complex mathematical jargon to explain how the "Autograd" engine tracks operations to compute gradients for neural network training.
https://0byte.io/articles/pytorch_introduction.html
This article provides a visual, intuition-first guide to PyTorch, focusing on how tensors and computational graphs enable automatic differentiation. It strips away complex mathematical jargon to explain how the "Autograd" engine tracks operations to compute gradients for neural network training.
https://0byte.io/articles/pytorch_introduction.html
0byte.io
Introduction to PyTorch | 0byte
An easy to follow, visual introduction to PyTorch.
Runtime validation in type annotations
The article shows how Python’s typing.Annotated metadata can be used to attach runtime validators to type annotations and then automatically apply those validators when instances are created. It walks through extracting annotation metadata, handling callable validators, and improving error reporting so that annotated fields are validated and meaningful errors are thrown during object ini...
https://blog.natfu.be/validation-in-type-annotations/
The article shows how Python’s typing.Annotated metadata can be used to attach runtime validators to type annotations and then automatically apply those validators when instances are created. It walks through extracting annotation metadata, handling callable validators, and improving error reporting so that annotated fields are validated and meaningful errors are thrown during object ini...
https://blog.natfu.be/validation-in-type-annotations/
blog.natfu.be
Runtime validation in type annotations | Gribouillis
Mindless sketches ✐ᝰ
OpenCastor
The Universal Runtime for Embodied AI. Connect any AI model to any robot hardware through a single YAML config.
https://github.com/craigm26/OpenCastor
The Universal Runtime for Embodied AI. Connect any AI model to any robot hardware through a single YAML config.
https://github.com/craigm26/OpenCastor
GitHub
GitHub - craigm26/OpenCastor: Open-source AI robotics framework — tiered brain, 8 AI providers, multi-robot swarm, self-improving…
Open-source AI robotics framework — tiered brain, 8 AI providers, multi-robot swarm, self-improving loop - craigm26/OpenCastor
anthropics / claude-plugins-official
Official, Anthropic-managed directory of high quality Claude Code Plugins.
https://github.com/anthropics/claude-plugins-official
Official, Anthropic-managed directory of high quality Claude Code Plugins.
https://github.com/anthropics/claude-plugins-official
GitHub
GitHub - anthropics/claude-plugins-official: Official, Anthropic-managed directory of high quality Claude Code Plugins.
Official, Anthropic-managed directory of high quality Claude Code Plugins. - anthropics/claude-plugins-official
nao
nao is a framework to build and deploy analytics agent. Create the context of your analytics agent with nao-core cli: data, metadata, modeling, rules, etc. Deploy a UI for anyone to chat with your agent and run analytics on your data.
https://github.com/getnao/nao
nao is a framework to build and deploy analytics agent. Create the context of your analytics agent with nao-core cli: data, metadata, modeling, rules, etc. Deploy a UI for anyone to chat with your agent and run analytics on your data.
https://github.com/getnao/nao
GitHub
GitHub - getnao/nao: 👾 nao is an open source analytics agent. (1) Create context with nao-core cli, (2) deploy nao chat interface…
👾 nao is an open source analytics agent. (1) Create context with nao-core cli, (2) deploy nao chat interface for everyone - getnao/nao
Coodie: A 4-year-old idea brought to life by AI (and some coffee)
After shelving the idea for four years, the author used AI to rapidly bootstrap Coodie, a Pydantic v2 based ODM for Cassandra and ScyllaDB inspired by Beanie for MongoDB. The result is a fully working library with declarative schemas, automatic table management, sync and async APIs, and chainable queries, built largely with AI assistance in a fraction of the time.
https://fruch.github.io/python/2026/02/24/coodie-ai-pydantic-odm
After shelving the idea for four years, the author used AI to rapidly bootstrap Coodie, a Pydantic v2 based ODM for Cassandra and ScyllaDB inspired by Beanie for MongoDB. The result is a fully working library with declarative schemas, automatic table management, sync and async APIs, and chainable queries, built largely with AI assistance in a fraction of the time.
https://fruch.github.io/python/2026/02/24/coodie-ai-pydantic-odm
fruch.github.io
Coodie: A 4-year-old idea brought to life by AI (and some coffee)
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 ...
https://kiro.dev/blog/bug-fix-paradox/
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 ...
https://kiro.dev/blog/bug-fix-paradox/
kiro.dev
The bug fix paradox: why AI agents keep breaking working code
Guido van Rossum Interviews Thomas Wouters (Python Core Dev)
https://gvanrossum.github.io/interviews/Thomas.html
https://gvanrossum.github.io/interviews/Thomas.html
Django ORM Standalone: Querying an existing database
A practical step-by-step guide to using Django ORM in standalone mode to connect to and query an existing database using inspectdb.
https://www.paulox.net/2026/02/20/django-orm-standalone-database-inspectdb-query/
A practical step-by-step guide to using Django ORM in standalone mode to connect to and query an existing database using inspectdb.
https://www.paulox.net/2026/02/20/django-orm-standalone-database-inspectdb-query/
Paolo Melchiorre
Django ORM Standalone⁽¹⁾: Querying an existing database
A practical step-by-step guide to using Django ORM in standalone mode to connect to and query an existing database using inspectdb.
Jeffallan / claude-skills
66 Specialized Skills for Full-Stack Developers. Transform Claude Code into your expert pair programmer.
https://github.com/Jeffallan/claude-skills
66 Specialized Skills for Full-Stack Developers. Transform Claude Code into your expert pair programmer.
https://github.com/Jeffallan/claude-skills
GitHub
GitHub - Jeffallan/claude-skills: 66 Specialized Skills for Full-Stack Developers. Transform Claude Code into your expert pair…
66 Specialized Skills for Full-Stack Developers. Transform Claude Code into your expert pair programmer. - Jeffallan/claude-skills
dbslice
Extract a slice of your production database to reproduce bugs locally. Point dbslice at a record, it follows foreign keys and gives you a complete, importable subset.
https://github.com/nabroleonx/dbslice
Extract a slice of your production database to reproduce bugs locally. Point dbslice at a record, it follows foreign keys and gives you a complete, importable subset.
https://github.com/nabroleonx/dbslice
GitHub
GitHub - nabroleonx/dbslice: Extract a slice of your production database to reproduce bugs locally. Point dbslice at a record,…
Extract a slice of your production database to reproduce bugs locally. Point dbslice at a record, it follows foreign keys and gives you a complete, importable subset - nabroleonx/dbslice
Python Type Checker Comparison: Empty Container Inference
https://pyrefly.org/blog/container-inference-comparison/
https://pyrefly.org/blog/container-inference-comparison/
pyrefly.org
Python Type Checker Comparison: Empty Container Inference | Pyrefly
Learn how different type checkers handle empty containers in Python, including Pyrefly, Ty, Pyright and Mypy.