Every pitch deck has the word "platform" in it. Most are not platforms. Here is why the mislabelling causes real roadmap damage, and the three tests that separate a genuine platform from a product that wants to be one.
Four of the biggest open-source relicensing controversies from 2023–24 now have enough distance to read clearly. The outcomes are not what either side predicted.
Most WebAuthn guides were written in 2019, before passkeys existed. This covers the 2026 picture: the concepts that trip teams up, the production decisions the spec doesn't make, and where to start.
The habits that make you reliable in traditional software development are miscalibrated for building with LLMs — four of them in particular. Knowing which four lets you put them down deliberately.
Every SaaS security guide converges on MFA and password managers. The real attack surface at a small SaaS team is 150+ non-human identities with no rotation, no scoping, and no audit.
Every tutorial shows you the happy path. Here is the part they skip: the exact schema, concurrent duplicate requests, crashed workers, and the eviction query that doesn't delete the wrong keys.
Every SaaS team has an events table. Most put a B-tree index on it and move on. At tens of millions of rows, that default stops being the right call — here's what to reach for instead.
Take-home coding assignments were designed to measure unassisted engineering work. AI coding tools made that assumption obsolete. Here is what the replacement formats look like.
The standard case against freemium focuses on conversion rates. That's not where the damage happens. The damage is in how a free tier anchors your price before enterprise procurement teams ever join the call.
DPDP Rules 2025 are in force. Most guides target compliance officers. This one targets the engineer assigned the ticket: four code changes that cover every engineering obligation in the Act.
The 'AI wrapper' critique turned out to be mostly right, but for the wrong reason. Three years in, here's what the failure modes and surviving products actually have in common.
Most PKM systems fail at retrieval, not capture. Five years of second-brain hype, better tools, and the same abandonment pattern — here's what predicts whether a system actually sticks.
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