Editorial Team
The Stack Stories Editorial is the in-house team responsible for researching, drafting, fact-checking, and editing every story we publish. Our workflow is AI-assisted — large language models help with first drafts, research summaries, and copy editing — and every published article is reviewed by a human editor before going live.
The MCP registry is a directory of hundreds now. Most are hobby projects. We surveyed which servers are actually in production use in 2026, grouped them by domain, and flagged the ones we would not deploy — with reasons.
The Rule of 40 was a decade of shorthand for SaaS health. It broke on the AI-cost era. We map the multi-metric framework serious boards now use — growth-efficiency triangle, AI-COGS disaggregation, Rule of X — and how to build the reporting.
SWE-bench Verified is the benchmark every AI coding tool cites. But the score you see quoted often obscures what the test actually measures — and what it does not. We audited the methodology and the leaderboard against the claims teams make from them.
We ran the two dominant AI coding tools of 2026 side-by-side for six months on production work. This is the comparison our audit turned up — where each wins, where each loses, and what happens if you try to use both at the same time.
The 83(b) election is a one-page form with a hard 30-day deadline. Miss it and years of appreciation get taxed as ordinary income. This is the mechanics, the maths, and the specific edge cases that surprise people — written for founders about to sign, not tax students.
The narrative that big always wins is a partial narrative. We map the class of small, task-focused models that quietly took a growing share of production AI work — where they win, where they still lose, and what changed.
For a decade the Rule of 40 was the single benchmark that SaaS boards used to judge growth-versus-profitability trade-offs. It survived the ZIRP era. It did not survive the AI-cost era. Here is what replaced it.
Zero-trust is no longer a buzzword — it is the default security architecture for serious organizations. We map what production deployments actually look like, where they still fail, and what the emerging identity-first models add.
Two years after GLP-1 receptor agonists went from diabetes drugs to cultural phenomena, we audit the public data — CDC prescription trends, NEJM outcomes trials, and the second-order effects showing up in retail and payer numbers.