Articoli su prodotti AI-native, design system, ingegneria web, economia SaaS e infrastruttura moderna. Nuovi pezzi ogni settimana, con fonti.
Sette errori che vediamo ripetersi nelle app Claude in produzione. Alcuni ti costano token, alcuni ti costano soldi, un paio ti possono costare l'azienda. Ognuno ha una soluzione semplice.
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Citation rate, mention rate, position: the three GEO KPIs worth tracking in 2026. Everything else is a dashboard moving without meaning.
73% of RFPs fail on scope misalignment. The 8-section structure that filters out wrong-fit software vendors before you open a proposal.
Concrete steps to hit Good on LCP under 2.5s, INP under 200ms, and CLS under 0.1 on a Next.js 16 SaaS, plus how to read field data when Lighthouse lies.
The 7 do, 7 don't checklist we apply on every product we ship: durations from 100 to 500ms, opacity and transform only, prefers-reduced-motion honored at the root.
Skills load on demand and cost 75-150 tokens each in the listing. Use them for procedures over five lines. Skip them for project-wide rules.
Six channels actually surface SaaS design partners worth hiring in 2026. Three channels waste two weeks. Here is the map, in order of signal.
You already run Supabase. Its Storage egress runs $0.03 to $0.09 per GB, R2 charges zero. Here is the line where adding Cloudflare R2 pays off in 2026.
Lenis (3 kB), GSAP free since April 2025, ScrollTrigger for scroll math, and native CSS scroll-driven animations. The 2026 stack we ship in production.
Rate limiting, sessions, cache-aside, distributed locks, and QStash queues. The five Upstash Redis patterns we wire into every SaaS, with real cost math.
TypeScript's strict: true flag turns on 8 separate checks. Most codebases keep strict on at the root and quietly disable one or two of them inside a problem file. Here is each of the 8, what it catches in production, and the three flags outside the bundle that we still turn on for every project.
An AI integration agency pitch in 2026 is judged on three things: what gets deployed, how it gets measured, and how it gets handed back. Ten checks to listen for, five red flags to walk out on.
Multi-agent LLM systems fail in production at 41 to 86 percent. Most of the failures trace back to twelve specific decisions teams make in the first month. Here is what they look like and how to undo them.
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