Most AI coding workflows assume you’re building something new from scratch. But what if you’re building something that spans multiple existing codebases, each with years of accumulated quirks?

This is how I stopped fighting context loss and built a system that actually works with existing codebases.

Code reviews can feel slow and effort-heavy, yet a subtle shift transforms the whole experience.

By bringing people together in a pair setting - live, synchronous conversations - teams unlock sharper insight, quicker alignment, and smoother momentum.

A glimpse into why this approach quietly outpaces the usual flow.

In a world where AI writes code at lightning speed, the bottleneck has shifted from typing to thinking.

Spec-Driven Development (SDD) puts requirements and behavior specifications at the center of the development process, ensuring that what we build is what we actually need — before a single line of code is written.

Ever opened a repo, spotted an ancient dependency version, and felt your motivation quietly exit the building? That was me, staring at our client still running on TanStack Query v3.

Here’s the (mostly human) story of how I dragged it to v5 and what it taught me about keeping a codebase clean.

Five years ago, we invested in Domain-Driven Design. Conferences, workshops, consultants. The works.

The goal was simple: help humans navigate complexity. Make domain experts and developers speak the same language.

We had no idea those same boundaries would matter for something else entirely.

Three-plus years of continuous hiring evolution at TalentLMS, from traditional assignments to live coding experiments, back to take-homes, and through AI disruption. A candid look at our journey of constant experimentation and what we learned about finding the right engineering talent through changing times.