AI features that start from technology instead of customer problems almost never stick. Here is how to tell the difference, and what a forward AI strategy actually looks like in practice.
Seven controls that prevent 90% of real breaches at a 10-person SaaS, ranked in the order that actually matters—not the order that looks good on a compliance questionnaire.
Most rate limiting failures aren't implementation errors. They come from picking an algorithm whose properties don't match the actual traffic shape. Here's a workload-first framework for making the right choice.
The India Stack is five distinct infrastructure layers at very different stages of maturity. An honest builder's guide to Aadhaar, UPI, Account Aggregator, ONDC, and OCEN in 2026 — with real numbers.
An Idempotency-Key header handles one of five layers where duplicates cause harm. Database writes, queue consumers, external API calls, and saga compensation each have failure modes the HTTP key doesn't cover.
AI coding productivity studies swing between '26% faster' and '19% slower on real tasks'. Both are probably correct — for different things. Here's what the research actually measures and what you should track instead.
Most engineering ladders have a technical track on paper and a management track in practice. Here are the three structural reasons this happens, and what to change.
The 80% savings claim for self-hosted LLMs is arithmetically correct on a fully-loaded GPU. Here is what the calculation looks like when you count correctly.
Most DPDP coverage is written for legal teams. This piece maps the Act's obligations to concrete engineering work: consent tables, data rights endpoints, deletion flows, and breach notification infrastructure.
AI agents don't have seats. As they absorb headcount, per-seat pricing loses its logic. Most founders are moving to usage-based — but the structural endpoint is outcome-based, changing who bears risk in every renewal.
The gRPC vs REST debate isn't about performance. It's about when the cost of schema enforcement is worth paying — and most teams reach for gRPC before they've hit the problems it actually solves.
Most engineering postmortems are structurally correct and practically useless outside the team that wrote them. The problem is not the template — it is that postmortems are written for the author, not the reader.
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