Artificial Intelligence

Programming (General):

• Concurrency in Go, Pony, Erlang (Elixir) and Rust

Programming (Python):

• 9 MindBlowing Python Features You Aren’t Using Enough
• Stop making your python projects like it was 15 years ago...
• Use Design Patterns in Python: Are You Still Writing Procedure-Oriented Code?

LLMs & AI:

• Goodbye, Text2SQL: Why Table-Augmented Generation (TAG) is the Future of AI-Driven Data Queries!
• What’s the Best PDF Extractor for RAG? I Tried LlamaParse, Unstructured and Vectorize
• Fabric: The Best AI Tool That Nobody is Talking About
• 15 AI Agent Business Ideas in 2025
• 6 AI Agents That Are So Good, They Feel Illegal
• Prompt Decorators: A Simple Way to Improve AI Responses
• Data Science All Algorithm Cheatsheet 2025
• Every AI Engineer Should Know these 15 Python Libraries in 2025

Management:

• The Slow, Painful Death Of Agile and Jira

• KAG: A Better Alternative to RAG for Domain-Specific Knowledge Applications
• Debugging in Python: Replace print() with ic() and Do It Like a Pro
• ChatGPT for Data Analysis: A Beginner’s Guide
• Why Building Your AI Agent Could Be Your Most Valuable Investment in 2025
• Building Successful AI Apps: The Dos and Don’ts
• Why Simple Code Is Harder Than You Think
• 10 Awesome Developer Tools to Make Your Life Easier
• Zonos: Text to speech

Bonus:

• Hybrid Search a method to Optimize RAG implementation
• Istio Workshop
• Grounding LLM’s — Part 1

• Wisdom of Unstructured Data: Building Airbnb’s Listing Knowledge from Big Text Data
• A Definitive Guide to Using BigQuery Efficiently
• 7 Query Strategies for Navigating Knowledge Graphs With LlamaIndex
• Constructing knowledge graphs from text using OpenAI functions
• A first intro to Complex RAG (Retrieval Augmented Generation)
• Advance RAG - Improve RAG performance

• Creating a Programming Language and Compiler with Python and LLVM
• From ElasticSearch to Apache Doris: Upgrading an Observability Platform
• System Design Cheatsheets: ElasticSearch
• Cotainerization of Machine Learning Applications

• How we built a Real Time Order Tracking System using Event Driven Architecture.
• Forget RAG: Embrace agent design for a more intelligent grounded ChatGPT!
• How to Setup AWS Locally Using LocalStack Without Spending a Buck
• Building a Real-Time Data Streaming Pipeline using Apache Kafka, Flink and Postgres
• Manage Airflow connections with Terraform and AWS SecretsManager

• LMQL — SQL for Language Models
• MLOps for recommenders - Deploying Recommender System in Production
• How Kubernetes requests are implemented
• Controlling Kubernetes Traffic with Topology Aware Routing
• Using encrypted container images in a confidential VM

• What the heck is Malloy? - feels like JSON made a baby with SQL, in the worse possible way
• What the heck is Apache SeaTunnel?
• Spark Concepts Simplified: Cache, Persist, and Checkpoint
• Wait! What are Pipelines in Python?
• The ins and outs of Airflow’s new Secrets Cache
• Deploying Apache Spark on a Local Kubernetes Cluster: A Comprehensive Guide
• Kubeflow Pipelines: A step by step guide
• Meet Michelangelo: Uber’s Machine Learning Platform
• Ray is an open-source unified compute framework that makes it easy to scale AI and Python workloads

• How to serve machine learning model using FastAPI, MLFlow, MINIO and MySQL

• Concurrency with FastAPI
• Introduction to Quant investing with python

• A data engineering project with Prefect, Docker, Terraform, Google CloudRun, BigQuery and Streamlit
• Personalized Recommendations with Transformers
• How does Facebook handle billions of async requests?
• FastAPI Advanced Request Processing

• Causal Machine Learning for Creative Insights
• How to build a 5 layer data stack
• Meta's FairScale Documentation
• Nginx vs Traefik v2 vs Traefik v3
• PySpark style guide

• Using contextual bandit models in large action spaces at Instacart

• Think twice before using asyncio in Python
• Data engineering is not software engineering
• The Netflix Cosmos platform
• 5 Must know distributed systems design patterns for event driven
• Event Driven shopping app with Python + Kafka + BigQuery
• Open sourcing a 10x reduction in Apache Cassandra tail latency
• Deep multi-task learning and real time personalization for closeup recommendations

• How to make the most of Pydantic
• Data Science at OLX
• Evolution of Image Model Serving at OLX

• Writing design docs for data Pipelines
• How we monitor thousands of spark data pipelines
• How Netflix microservices tackle dataset pub-sub
• Mage and its magical data plumbing powers
• Top 10 books for mastering the art of building software at scale

• We're all using Airflow wrong and how to fix it

• SageMaker - Bring Your Own Container
• Alternatives to Airflow
• Building a Data Warehouse - Architectural Principles
• Hystrix - Resilient APIs Connections

• Hazelcast as Redis Alternative
• Estimating F1-score in the absence of ground thruth
• How Discord Evolved from Storing Ms of Messages to Ts of Messages
• Airbnb System Design

• 5 Data Architectures to Check in 2023
• Terraform - Deploying Secure Highly Available and Fault Tolerant Cloud
• How Razorpay Scaled up Their Notification Service
• Spark Runtime for AWS Lambda
• Bolt Pipeline and Data Monitoring

• Learn to use Kubernetes CRDs

• About Optimizations
• Using files and devices in Podman rootless containers
• Brief intro in Open Table Formats
• Machine Learning Orchestration with Airflow (lectures material)
• MLOps Project Part 1

• HRNN Recommender
• Pseudonymisation Techniques and Best Practices
• DuckDB - what's the hype about
• DuckDB Poor Man's DataLake

• Boto3 vs SageMaker Python API
• DBT vs Delta Live Tables
• Airflow Custom Operators
• Writing a Good Airflow Dag
• Flyte, Lift's alternative to AirFlow (Wolt ML Infra)
• Build an ML Platform from Scratch
• 13 SQL statements for 90% of Data Science (lectures material)
• Build a minimal Linux with Busybox (lectures material)

• K3S Cluster with Nginx Ingress
• Nginx Ingress
• Nginx Controller via YAML

• Install Jupyterhub with Kubespawner

• Scaling AllenNLP in Production
• Most common data architectures in AWS
• Feature stores explained - the 3 common architectures
• Bring your own container with Amazon SageMaker
• Amazon SageMaker containers overview
• Data Ingestion Pipeline with Operation Management @ Netflix
• Configuring uWSGI for Production

• Gunicorn - important configuration options with a mind towards performance
• Memray - Bloomberg's Python memory profiler
• File storage format for chunked, compressed, N-dimensional arrays
• What are AWS Sagemaker Endpoints?
• Running 1000 models a month with Apache Airflow on AWS
• Understanding Memory Mapping