Laxaar Engineering Team
The senior engineers behind Laxaar. We've shipped 500+ projects across 30+ industries, and we write these articles from what we've actually built and measured, not from a content brief.
We're a team of senior full-stack and AI engineers, designers, and product leads. Day to day we build AI agents, generative-AI products, SaaS platforms, and web and mobile apps, then keep them running in production. Everything we publish here comes from that work: the trade-offs we weigh, the patterns that hold up, and the ones that don't.
When something is genuinely hard or context-dependent, we'll say so. Honest engineering writing is more useful than another confident overview, and it's how we'd want a partner to talk to us.
Recent articles from the team
React Performance: Memoization Without React.memo Abuse
Stop scattering React.memo everywhere and fix actual React performance optimization bottlenecks — profiler-first, compiler-aware patterns for 2026.
Kotlin Multiplatform vs Flutter for Shared Logic
Compare Kotlin Multiplatform vs Flutter to decide which cross-platform mobile approach fits teams with existing native iOS and Android apps.
WebSockets vs SSE: Choosing a Real-Time Web Transport
Compare WebSockets vs SSE for real-time web apps. Learn which transport fits your message direction, reconnection needs, and scale constraints.
AI Eval Frameworks Compared: Catching LLM Regressions
Compare LLM eval frameworks by CI integration and non-determinism handling so you catch regressions before they reach production users.
Using Coding Agents on Legacy and Undocumented Code
Learn how agentic coding tools can safely modernize legacy and undocumented codebases using characterization tests and codebase archaeology techniques.
Building Guardrails for Production LLM Applications
Learn how to build LLM guardrails for production AI engineering: input validation, output checks, and action fencing that treat the model as an untrusted component.
Take your business to the next level.
Tell us what you're building. We'll come back inside one business day with a fixed scope, timeline, and team — or an honest “this isn't a fit”.
Code is useless if it's not comprehensible to those who maintain it. We write code the next person can actually understand.