Behavioral and technical interview prep for software engineers ready to take their careers to the next level.
103 posts
Interview PreparationAugust 3, 2026by Formation
A "Design Spotify" prompt mixes local controls, routine backend work, and hidden distributed-systems problems. Here's how to scope requirements so your limited interview time goes to what actually deserves architectural depth.
Interview PreparationAugust 3, 2026by Formation
System design vocabulary is easy to reproduce, so a familiar diagram alone doesn't differentiate a candidate; the stronger signal is whether each architectural choice is tied to the actual workload, product risk, and operating constraints. The post walks through a notification-platform prompt to show what that judgment looks like in practice.
AIJuly 28, 2026
AI can speed up system design interview prep and create a false sense of readiness. Here's how to use it to sharpen your reasoning while keeping the thinking yours.
Job HuntJuly 23, 2026by Eugenie Ma
After years in one engineering role, interviewing gets rusty. Here is how to turn your day-to-day work into clear, specific answers an interviewer can follow.
Job HuntJuly 21, 2026by Formation
A practical guide to using AI for software engineering interview prep, from behavioral answers to system design, without losing the details that make you credible.
Interview PreparationJuly 17, 2026by Formation
A focused, sustainable approach to preparing for software engineering interviews when you're already working a demanding full-time job.
Interview PreparationJuly 16, 2026by Abdu Mappuji
The biggest system design interview mistakes strong engineers make usually aren't knowledge gaps — they're communication patterns. Here's what to do instead.
Job HuntJuly 9, 2026by Eugenie Ma
Learn how to prepare for engineering interviews during a layoff cycle, from updating your story to practicing before the pressure hits.
Job HuntJuly 7, 2026by Abdu Mappuji
Learn how to show senior-level judgment in system design interviews.
Learn how to explain AI project impact in interviews with stronger metrics, user outcomes, and before-and-after results.
