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
How Much Does AI Agent Development Cost in 2026?
AI agent development cost ranges widely by scope. Here's what drives the price of a production AI agent, with real 2026 ranges and how to keep it under control.
How Much Does Custom Software Development Cost?
Custom software development cost depends on scope, complexity, and team. Here are realistic 2026 ranges, the real price drivers, and how to scope it sensibly.
How Much Does MVP Development Cost in 2026?
MVP development cost depends on scope, platform, and team. Here are realistic 2026 ranges, what drives the price, and how founders keep an MVP affordable.
How Much Does SaaS Development Cost in 2026?
SaaS development cost depends on architecture, features, and scale. Here are realistic 2026 ranges, the real cost drivers, and how to phase spend from MVP up.
Agent Memory Systems Explained
Learn how agent memory systems work — in-context, external, episodic, and semantic — and which type to use for reliable long-running AI agents in production.
Agent Planning Techniques for Reliable Execution
Explore agent planning techniques — chain-of-thought, tree-of-thought, MCTS, and task decomposition — that make AI agents reliable on complex multi-step tasks.
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Code is useless if it's not comprehensible to those who maintain it. We write code the next person can actually understand.