Resources
Engineering insights, lessons, and customer stories from the First Mate Technologies team.
Blog

AI Engineering
How We Run LLM Evals in CI Without Flaky Gates
Two identical runs of the same prompt disagreed on 9% of predictions. How to run LLM evals in CI without flaky merge gates: measure your noise floor first.

AI Engineering, AI-Native Development, Engineering Leadership
Code Is Solved. Understanding Is the New Bottleneck.
Writing code is nearly free now. In 2026 the real constraint on shipping software is human understanding: why the bottleneck moved, and how we build around it.

AI Product Management, AI Engineering, Hiring
AI Product Manager vs. Product-Minded AI Engineer: Which Does Your Startup Need?
AI product manager or AI engineer? For most startups a product-minded AI engineer does both — scoping, trade-offs, and shipping in one senior hire.

Outsourcing, Developer Cost, Global Talent
Filipino vs. US vs. Eastern Europe Developers: A 2026 Cost & Quality Comparison
A 2026 data-driven comparison of Filipino, US, and Eastern European software developers — salaries, technical quality, English proficiency, and total cost of employment.

AI Development, Case Study
How We Shipped a Production App in Days with AI Coding Agents
See how First Mate used AI coding agents and a strict TDD workflow to design and ship QueueMate, a production restaurant app, in days, not months.
Seamless Salesforce Integration: A YC-Backed FinTech Startup Success Story
When YC-backed FinTech startup NovaPay needed a robust Salesforce integration, First Mate stepped up to the challenge. From navigating Apex scripting to designing a multi-layered synchronization strategy, our team tackled complex technical hurdles to deliver a seamless, secure, and scalable solution. Discover how we overcame unexpected challenges, optimized data workflows, and ensured long-term success through meticulous documentation and strategic problem-solving. 🚀
Entrepreneurship
5 Lessons from a Failed Startup
Discover the hard-earned lessons from our journey to build an AI-powered language learning tool. Despite raising $500k and developing a working product, our startup struggled to scale and eventually pivoted. From losing passion to pricing missteps, these five lessons offer valuable insights for founders navigating similar challenges.