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
- 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.
Read post - 10 min read·ArchitectureMicroservicesBackend
Monolith vs Modular Monolith vs Microservices — picking the right shape for your stage
A practical breakdown of when a monolith is the right call, when to modularise it, and when microservices actually earn their operational cost — with the signals that tell you it's time to move.
Read post - 9 min read·LangGraphLangChainOpenAI
LangGraph vs LangChain vs raw OpenAI SDK in 2026 — what we actually pick
An opinionated, code-first comparison of LangGraph, LangChain and the raw OpenAI / Anthropic SDKs for shipping production agents in 2026 — when each one earns its keep, where they bite, and what we default to on new client work.
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22 posts · page 4 of 4
- 9 min read·DesktopTauriElectron
Tauri vs Electron in 2026 — binary size, RAM, auto-update and the parts no one benchmarks
A practical comparison of Tauri and Electron for desktop apps in 2026 — measured binary size and RAM, the real auto-update stories, code-signing pain, and where each one earns its keep.
Read post - 8 min read·Google I/OGeminiAI Engineering
Google I/O 2026 — what stood out to our team
Our take on the Google I/O 2026 announcements that actually matter for shipping AI-first software in production — Gemini, Android, web platform and developer tooling.
Read post - 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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