BUILD
How it's built. Architecture, patterns, code.
14 posts
AI agent context window: keeping your agent from forgetting
Your agent remembers everything in the current conversation. That's both its superpower and its biggest weakness. Here's how to manage context windows so your agent stays focused and cost-efficient.
AI agent deployment guide: from localhost to production
Building an agent that works on your laptop is step one. Making it run reliably in production — cost-controlled, monitored, failure-resilient — is where most attempts fail. Here's the deployment guide I wish existed.
AI agent error handling patterns
Your agent will fail. Not sometimes — regularly. The difference between a demo agent and a production agent is how it handles those failures. Here are the patterns that kept my agents running.
AI agent logging and monitoring: seeing inside your agent
Your agent is doing something strange and you have no idea why. Here's exactly what to log, how to structure it, and how to debug agents in production.
AI agent multi-step workflows: building complex pipelines
Four workflow patterns every agent developer needs — sequential, parallel fan-out, conditional branching, and loop with human-in-the-loop. With real code and production lessons.
Best AI agent frameworks in 2026: which one should you use?
Every agent framework promises the same thing: easy multi-agent systems. After building production agents with all of them, here's where each one actually works and where it falls apart.
Best open source AI tools for indie hackers in 2026
Open source AI tools are proliferating fast. Most of them are not worth your time. These are the ones that survived my brutal evaluation: must be actually useful for a solo developer shipping products.
Building an AI code review agent: lessons from production
I built an AI code review agent that posts comments on GitHub PRs. The architecture was the easy part. The failure modes — hallucinated bugs, missing real issues, arguing with human reviewers — nearly made me scrap the project.
CrewAI vs LangGraph: which agent framework to use
I built the same research agent in both CrewAI and LangGraph. One felt natural from the start. The other made me appreciate why state graphs exist. Here's the honest comparison.
Cursor vs Claude Code vs Copilot: 6 months of daily use
I've been a heavy user of all three for 6 months. They're not interchangeable — each excels at different things. Here's the honest comparison on real coding tasks.
How to build your first AI agent in 2026 (tutorial)
You've used ChatGPT. You've maybe used Claude or Copilot. But building an agent — something that acts on its own — feels like a different skill. It's not. Here's the tutorial I wish existed when I started.
LangGraph tutorial for beginners: build your first workflow
LangGraph keeps getting recommended but every tutorial assumes you already know LangChain. Here's a beginner-friendly walkthrough — from state graphs to a working agent — without the chain-of-thought abstraction.
OpenAI function calling tutorial: building tools for GPT
OpenAI's function calling API lets the model request function execution — fetch data, interact with APIs, compute things. Here's how to use it from scratch.
अपना पहला एआई एजेंट कैसे बनाएं (2026 ट्यूटोरियल)
आपने ChatGPT इस्तेमाल किया है। शायद Claude या Copilot भी इस्तेमाल किया है कोडिंग में मदद के लिए। लेकिन एजेंट बनाना — जो अपने आप कार्रवाई करे — एक अलग कौशल लगता है। ऐसा नहीं है। यह ट्यूटोरियल वह है जो मैं शुरू में चाहता था।
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