How to explain your AI project’s impact in interviews
Learn how to explain AI project impact in interviews with stronger metrics, user outcomes, and before-and-after results.
34 posts
Learn how to explain AI project impact in interviews with stronger metrics, user outcomes, and before-and-after results.
Learn how to scope a personal AI project that shows problem-solving, product thinking, and technical judgment.
Before you choose a vector database or retrieval strategy, there are four product questions every AI system design interview requires.
AIJune 2, 2026by Michael Novati
Tech layoffs and record profits are happening at the same time. The real explanation is more specific than AI replacement, and it changes what engineers should do.
AI can help you write a stronger resume, but it can also make it harder to read. Here's how to use AI without blending into the pile.
Interview PreparationMay 21, 2026by Formation
AI is changing senior engineer interviews. Learn what candidates need to show around judgment, product thinking, risk, and AI systems.
FAANG interview loops have changed structurally since 2024. Here's what experienced engineers are walking into now.
AI made writing code faster. It didn't make code review faster. Here's how to build an AI coding workflow that scales both, from planning to review.
Claude Code vs. Codex: how the two leading AI coding agents compare on speed, cost, code review, and large codebases.
Don't pick one AI coding tool and stick with it. Treat model selection as an active, ongoing decision.