Field reports from the TechKis team.
Engineering notes, architecture deep-dives and honest takes on what we’re learning while shipping AI-first software.
Top highlights
- 9 min read·PerformanceCore Web VitalsSEO
A Lighthouse 100 doesn't mean your site is fast
Lighthouse is a lab simulation on a throttled mid-range phone. Google ranks on field CrUX p75 for LCP, INP and CLS. Here's why the two disagree, and what to measure instead.
Read post - 9 min read·AI EngineeringSEOContent
Getting cited by AI search — how to be the answer, not the tenth blue link
ChatGPT, Perplexity and Google AI Overviews cite sources instead of listing links. Here's how answer engines pick what to quote, and how to be the citation.
Read post - 11 min read·ArchitectureScalingBackend
Scaling from 10 users to 10 million — the decisions that matter at each stage
Scaling isn't one problem. It's a sequence of different problems that appear at different stages. Here's what actually matters at 10 users, 10,000 users, 100,000 users, and 10 million — and the mistakes that come from solving tomorrow's problem today.
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26 posts · page 5 of 5
- 9 min read·MobileReact NativeExpo
React Native vs Expo vs Flutter for AI apps in 2026
An opinionated comparison of React Native, Expo and Flutter through the lens of shipping AI-first mobile apps — streaming UIs, on-device inference, native bridges and the team-velocity trade-offs that actually decide it.
Read post - 9 min read·AWSBedrockLLM Infrastructure
AWS Bedrock vs direct provider APIs — cost, lock-in and the procurement reality
When to call OpenAI and Anthropic directly versus going through AWS Bedrock — a practical breakdown of cost, latency, model availability, governance and the procurement reality that actually decides the answer on most enterprise projects.
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