173 deep-dives across system design, AI architecture, production post-mortems and end-to-end ML — written for engineers who ship, not for flashcards.
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It started as system design. It is now 173 articles across six areas — plus a 91-concept roadmap that stays free.
Scenario-driven architecture walkthroughs — requirements, capacity math, trade-offs, and the failure modes nobody mentions in a tutorial.
RAG pipelines, agent orchestration, inference serving, evals and guardrails — designed the way teams actually ship them to production.
Real outages, broken down like a post-mortem: what the graphs looked like, what the on-call engineer missed, and which fix actually held.
Complete ML problems with a runnable codebase you can browse file-by-file in the explorer and download — data, features, model, evaluation.
Two structured tracks — System Design and Gen AI & Agentic AI — six phases each, with progress tracking so you always know what is next.
Shorter takes on engineering practice, plus a shelf of the distributed systems and ML papers worth your evening.
You can already find a definition of sharding in thirty seconds. What is hard to find is someone walking you through the moment it became the wrong call.
Every article argues a trade-off. You leave knowing why a team picked Kafka over SQS at that scale, not just what both are.
Each blueprint follows the same arc an interviewer expects — scope, estimate, design, deep dive, failure modes. Repetition builds the reflex.
22 AI architecture deep-dives covering retrieval, agents, evals and inference cost. The questions being asked in 2026, not 2019.
ML problems ship with a full codebase you can read in the explorer and download — so the learning survives past the reading.
The library grows. Premium members get every new piece at no extra cost.
A generous free tier on purpose. Read the roadmap, read 38 full articles, preview every premium one — then decide.
135 premium deep-dives works out to roughly ₹8 each — and everything published after today is included.
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From mid-level devs to staff engineers, working through the same material.
“This completely changed how I approach architecture reviews. The real-world scenarios are unlike anything else out there.”
“Landed my dream job at Amazon after working through the system design blueprints. The interview framing is gold.”
“The architecture diagrams alone saved me hours explaining concepts to my team. Worth every rupee.”
No. It is a single payment of ₹999 for lifetime access. Nothing auto-renews, and there is no second tier to upgrade to later.
The entire 91-concept learning roadmap, 38 full articles and case studies, and the first 20% of every premium deep-dive — enough to judge the writing before you spend anything.
Yes. New premium deep-dives, AI architectures and war stories are added over time, and every one of them is included in the price you already paid.
It works for interviews because it is written for the job. The blueprints follow the structure interviewers expect, and the war stories cover the part of the job that starts after you get hired.
Razorpay handles checkout — UPI, cards and netbanking all work. Access unlocks on your account as soon as the payment is confirmed.
Access is tied to your account so it follows you across devices. Sign in with Google, pay once, and every premium article opens from then on.
135 premium deep-dives, 91 free concepts, one payment of ₹999.