AI Engineering · for senior software engineers
Where senior engineers learn to build with AI — at the depth the job actually demands.
118 guides · real Python · beginner to production
AI Engineering
Claude Code Skills Tutorial: Build Your First Skill (2026)
SKSukhveer Kaur · Aug 1, 2026 · 8 min
Latest
AI Engineering
How to Use Claude Code: Idea to App Workflow (Part 1)
Sukhveer Kaur · Aug 1, 2026 · 6 min
AI Engineering
Agentic Search vs RAG: Which One Do You Actually Need? (2026)
Sukhveer Kaur · Jul 6, 2026 · 6 minCorrected 16 Oct
AI Engineering
MCP Server TypeScript: Build One in Node.js (2026)
Sukhveer Kaur · Jul 6, 2026 · 6 min
AI Engineering
Pydantic AI vs LangChain: Which Framework Should You Use? (2026)
Sukhveer Kaur · Jul 6, 2026 · 6 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 · 5 minChatGPT MCP: Connect Any MCP Server to ChatGPT (2026)Sukhveer Kaur · Oct 14, 2026Opinion · 4 minClaude Code Changes 2026: Subagent Limits, Caps & Opus 5Sukhveer Kaur · Aug 1, 2026Guide · 8 minEvaluate an AI Agent on a Local LLM: Free, No API Key (2026)Sukhveer Kaur · Jul 18, 2026Guide · 9 minAI Agent Guardrails in Python: Input & Output ValidationSukhveer Kaur · Jul 6, 2026Comparison · 6 minCorrected 16 OctAgentic Search vs RAG: Which One Do You Actually Need? (2026)Sukhveer Kaur · Jul 6, 2026Guide · 6 minMCP Server TypeScript: Build One in Node.js (2026)Sukhveer Kaur · Jul 6, 2026
AI Tools & Reviews
Tools worth your time
Review · 7 minOpenRouter Review (2026): One API, 300+ Models — Worth It?Weighed against its own fee schedule, live pricing data, and real developer reports, the verdict is clear — OpenRouter is the fastest way to use every major LLM behind one API, as long as you know exactly where the 5.5% fee bites and where support falls short.Sukhveer Kaur · Jul 3, 2026Guide · 5 minBest n8n Alternatives for AI Agents (2026)Seven honest n8n alternatives for 2026, sorted by what you actually need — the closest hosted swap, the best open-source option, the biggest integration library, and the most AI-agent-native builders.Sukhveer Kaur · Jun 28, 2026Review · 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 · 7 minCorrected 16 OctCursor 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, 2026
Software Architecture
Design systems that hold up
Guide · 11 minDesign a URL Shortener: Where Every Decision Comes From the Read Path (2026)The classic warm-up problem, walked end to end in 45 minutes. Short codes, a hundred reads for every write, 301 versus 302, and the 2026 twist of abuse, with diagrams that grow as the design does.Sukhveer Kaur · Oct 19, 2026Guide · 7 minBack-of-Envelope Estimation for System Design Interviews: The Maths in 30 Seconds (2026)Five numbers, four formulas and an October 2026 latency sheet are enough to size most interview systems in under a minute, including an AI feature. Worked examples show which numbers change the design.Sukhveer Kaur · Oct 17, 2026Guide · 7 minSystem Design Interview Framework: Six Steps for the 45-Minute Round (2026)The 45-minute system design round rewards a process, not a perfect diagram. This lesson gives one six-step framework, a time box for each step, and what the interviewer scores along the way.Sukhveer Kaur · Oct 16, 2026Guide · 5 minCDNs and Object Storage: Store at the Origin, Serve at the Edge (2026)Your app server should not be in the business of serving files. Object storage holds the big stuff at the origin; a CDN caches copies at the edge, near users. Together they're the delivery layer — store the file once, serve it from everywhere.Navmeet Kaur · Jul 6, 2026
Tech Career Growth
Grow in the AI era
01LLM System Design Interview: The Five-Layer Answer (2026)11 min02RAG Interview Questions & Answers (2026): Strong vs Weak10 min03Software Engineer Skills in 2026: What the Job Now Expects5 min04AI Engineer Interview Questions (2026): RAG & Agents5 min05AI Engineer Salary 2026: Real Numbers by Level5 min06Become an AI Engineer: The 80% You Already Know (2026)6 min
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