AI Engineering · for senior software engineers
Where senior engineers learn to build with AI — at the depth the job actually demands.
64 guides · real Python · beginner to production
Software Architecture
Agent Orchestration Patterns: A 2026 Guide
The five agent orchestration patterns (supervisor, hierarchical, sequential, parallel, swarm), why the supervisor wins in 2026, what multi-agent really costs, and when a single agent was the right call all along.
NKNavmeet Kaur · Jun 26, 2026 · 5 min
Latest
AI Engineering
Pydantic BaseModel: A Primer for AI Agent Developers (2026)
Sukhveer Kaur · Jun 25, 2026 · 4 min
AI Engineering
Python Decorators: A Primer for Reading AI Agent Code (2026)
Sukhveer Kaur · Jun 22, 2026 · 4 min
AI Engineering
AI Agent vs Workflow: What's the Actual Difference? (2026)
Sukhveer Kaur · Jun 22, 2026 · 5 min
AI Engineering
Which AI Agent Framework Should You Use in 2026?
Sukhveer Kaur · Jun 21, 2026 · 9 min
// Choose your path
Two Python-agent series. They’re not a choice — they’re a sequence.
Start with Foundations if you’re new — build an agent by hand, no framework. Move to Production once the basics click. Pick by where you are right now.
1Level 1Foundations — build it by hand
→2Level 2Production — ship a real one
★ Start here
01Beginner · Foundations
AI Agents from Scratch in Python
Build a working agent with nothing but Python and one LLM call — no frameworks, so you actually understand the loop.
Start here if you…
are new to agents, or want to know how one actually works before reaching for a framework.
- Length
- 6 parts (00–05)
- Approach
- Pure Python + a raw LLM call
- Prereq
- Can read basic Python (Part 0 teaches it)
- You'll build
- Your own agent loop — tools, reasoning, memory — by hand
02Intermediate · Production
Agentic AI in Python: Zero to Production
Take a real agent all the way to a deployed, observable service using LangGraph — state, tools, memory, and shipping.
Start here if you…
already get the basics (or finished Level 1) and want to ship something production-grade.
- Length
- 7 parts (01–07)
- Approach
- LangGraph + deploy & observability
- Prereq
- Comfortable with agent fundamentals
- You'll build
- A real agentic app, deployed as an observable service
AI Engineering · flagship
Build it, in real Python
Guide · 8 minHow to Evaluate an AI Agent: Metrics & Frameworks (2026)Sukhveer Kaur · Jun 27, 2026Guide · 9 minWhy Your LangGraph Agent Keeps Looping (and How to Fix It)Sukhveer Kaur · Jun 27, 2026Beginner · 4 minPydantic BaseModel: A Primer for AI Agent Developers (2026)Sukhveer Kaur · Jun 25, 2026Guide · 6 minWhat Is RAG in AI? A Practical Developer's Guide (2026)Sukhveer Kaur · Jun 25, 2026Beginner · 4 minPython Decorators: A Primer for Reading AI Agent Code (2026)Sukhveer Kaur · Jun 22, 2026Beginner · 5 minAI Agent vs Workflow: What's the Actual Difference? (2026)Sukhveer Kaur · Jun 22, 2026
AI Tools & Reviews
Tools worth your time
Review · 5 minn8n Review (2026): Best No-Code AI Agent Builder?After building agents on n8n across cloud and self-hosted, the verdict is clear — it's the most capable low-code AI agent builder in 2026, as long as you can handle the learning curve and the debugging.Sukhveer Kaur · Jun 27, 2026Comparison · 6 minCursor vs Claude Code (2026): Which Should You Use?Cursor and Claude Code aren't fighting for the same job. One is an AI code editor you drive; the other is a terminal agent that drives itself. Here's how they differ on workflow, pricing, and token efficiency — and why the real answer is often "both."Sukhveer Kaur · Jun 27, 2026Comparison · 7 minn8n vs Make for AI Agents (2026): Which to UseFor AI agents, the choice comes down to one thing — who controls the agent loop. n8n gives you a native LLM agent node, memory, and self-hosting; Make gives you the fastest path to a shareable, no-code agent. Here's the honest call, with pricing math.Sukhveer Kaur · Jun 26, 2026
Software Architecture
Design systems that hold up
Guide · 5 minAgent Orchestration Patterns: A 2026 GuideThe five agent orchestration patterns (supervisor, hierarchical, sequential, parallel, swarm), why the supervisor wins in 2026, what multi-agent really costs, and when a single agent was the right call all along.Navmeet Kaur · Jun 26, 2026Guide · 5 minHuman-in-the-Loop Architecture: A 2026 GuideHuman-in-the-loop architecture decides what an agent does alone and what a person approves. The patterns, how to pause without blocking, the approval-fatigue trap, and where to put the human.Navmeet Kaur · Jun 26, 2026Guide · 5 minLong-Running AI Workflows: A 2026 GuideLong-running AI workflows can't live in a request/response. How durable execution checkpoints and resumes instead of restarting, why every side effect needs an idempotency key, event-driven triggers, and when a plain call is enough.Navmeet Kaur · Jun 26, 2026Guide · 5 minAI Agent Memory Architecture: A 2026 GuideAI agent memory is the storage tier behind the context window. The three long-term types (episodic, semantic, procedural), the write-recall-forget lifecycle, where it breaks, and when an agent needs no memory at all.Navmeet Kaur · Jun 25, 2026
Tech Career Growth
Grow in the AI era
01Become an AI Engineer: The 80% You Already Know (2026)6 min02How to Crack a Google Interview in India (2026 Guide)6 min03Google Interview Prep Beyond Coding: PM, Sales & Googliness4 min04Full Stack Developer Training in 2026: Courses + Path5 min05The Future of Work: A Deep Dive into the Digital Revolution4 min
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