Giving your AI agent a wallet: my Alfred moment — I gave my AI agent a payment credential and let it buy my Spider-Man tickets. Here is how Stripe's link-cli works, what Mastercard and Visa are shipping, and why your agent might soon have a better wallet than you.
Microsoft Agent Framework: The Successor to Semantic Kernel and AutoGen — Microsoft folded Semantic Kernel and AutoGen into one SDK called Microsoft Agent Framework. Here's what it actually looks like in C# and Python, the agent and workflow primitives, and the orchestration patterns it ships with.
Empathy Is Not a Soft Skill — We slapped the word 'soft' on empathy like it's optional. It's not. It's the thing that separates leaders people follow from leaders people tolerate.
Google Web MCP: making your website agent-ready — Google just dropped WebMCP, a browser API that lets websites tell AI agents what they can do. No more DOM scraping. Here is what it is, how to use it, and why it matters.
Understanding ADLC: The Agentic Development Life Cycle — The Agentic Development Life Cycle (ADLC) is a framework for how you build, evaluate, deploy, and operate AI agent systems. This post covers the phases with diagrams, code, and lessons from real projects.
Hash Table Explained with Examples — Hash tables give you near-instant lookups by turning keys into array indices. Here's how the hashing works, what happens when two keys collide, and why this data structure shows up everywhere.
Binary Search Tree Explained with Examples — Binary search trees keep your data sorted and searchable without the overhead of constantly re-sorting arrays. Here's how they actually work, when they shine, and when they don't.
Advanced Agent Orchestration Patterns in Python — Supervisor hierarchies, tool-use strategies, error recovery, and human-in-the-loop checkpoints for Python agent systems that need to work reliably.
Dynamic Programming Explained with Examples — Dynamic programming breaks hard problems into smaller overlapping pieces and reuses the results. Here's how it works with Fibonacci, Knapsack, and other classic examples you'll actually encounter.
Dijkstra's Shortest Path Algorithm Explained with Examples — Dijkstra's algorithm finds the shortest path between nodes in a weighted graph. Here's how it actually works, with visual walkthroughs and Python code you can use right away.
MLOps Pipeline with Python MLflow and Docker — Setting up an MLOps pipeline with MLflow and Docker for experiment tracking, model registry, and serving in reproducible containers.
Breadth-First Search Algorithm Explained with Examples — BFS explores a graph level by level, which makes it perfect for finding shortest paths. Here's how the algorithm works, with visual walkthroughs and real problems you can solve with it.
Depth-First Search Algorithm Explained with Examples — DFS is one of those algorithms you'll reach for constantly once you understand it. Here's how it works, why it matters, and when you should pick it over BFS.
Binary Search Algorithm Explained with Examples — Binary search looks simple on paper but getting the details right trips up even experienced developers. Here's a clear walkthrough of how it works, when to use it, and the common variations you'll see in real problems.
Merge Sort Algorithm Explained with Examples — Merge sort is one of those algorithms that clicks once you see it visually. Here's a practical walkthrough of how it splits, conquers, and merges arrays back together, with Python code you can actually use.
Quick Sort Algorithm Explained with Examples — Quick Sort is the go-to sorting algorithm in most standard libraries for good reason. It's fast, it's in-place, and once you understand the partition step, the rest clicks into place. Here's how it works with visuals, code, and practical use cases.
What's New in .NET 10 — .NET 10 adds deeper AI integration, C# 14 language features, cloud-native improvements, and performance gains over .NET 8 and 9.
.NET Version Evolution Guide — Tracing the .NET platform from Framework 1.0 in 2002 through .NET Core to the unified .NET 9.0 in 2024.
Bubble Sort Algorithm Explained with Examples — Bubble Sort gets a bad reputation, and honestly, it deserves some of it. But understanding how it works gives you a solid foundation for thinking about sorting, comparisons, and optimization. Here's a practical breakdown with visuals and Python code.
Modern Data Science with Polars and Python — Polars is fast and its API is expressive. This post covers lazy evaluation, the expression system, and where it genuinely outperforms Pandas on larger datasets.
Agent Orchestration with Microsoft AutoGen 0.4 — AutoGen 0.4 was rebuilt from scratch with an event-driven architecture and a new AgentChat API. This post walks through the team-based orchestration model and what changed from 0.2.
Agent Orchestration with LangGraph in Python — How to build stateful AI agents with LangGraph, including graph construction, conditional routing, and state management across conversation turns.