Insights, tutorials, and updates from the Phantom Code team to help you ace your next technical interview.
Most engineering stories are bug reports dressed in verbs. This guide shows you how to build interview stories with real stakes, real choices, and a metric-driven punchline the interviewer will remember.
The exact minute-by-minute plan that senior engineers use to pace a 45-minute coding round: five minutes to clarify, five to brute force, ten to optimize, fifteen to code, ten to test. Plus recovery tactics when you overshoot.
A structured method for using your own interview transcripts and recordings to improve. What to look for in filler words, silences, incorrect claims, and the ratio of talking to thinking — with a replay protocol you can run in under an hour.
An invisible AI assistant coaches you in real time during interview practice and stays undetectable during the actual round. Here's how it works.
A candidate-first walkthrough of the IT support loop: ticket triage, troubleshooting scripts, customer-facing communication, on-call readiness, ITIL fundamentals, and the scripting questions hiring managers actually ask.
Everything you need to know about LeetCode Online Assessments at FAANG and top tech companies, from preparation timeline to pattern playbook.
A 12-week LeetCode plan in 5-10 hours per week, organized by patterns, with a curated Blind 75 mapping and re-solve schedule.
How to prepare for the LinkedIn SWE loop in 2026, from the bar-raiser round to system design on feed and search, with specific guidance on levels, comp, and values-driven behavioral questions.
The live bug-fix round has quietly become the new senior-loop standard. Here is how to read unfamiliar code fast, form hypotheses, narrate your thinking, and find the bug without panic.
AI assistance during live technical interviews has moved from fringe experiment to active industry debate. An honest, candidate-first treatment of what is defensible, what is disqualifying, and how company policies actually differ in 2026.
Walk through the most common LLD interview problems — parking lot, elevator, vending machine, library — with full Python class designs and SOLID principles.
A practitioner-grade walkthrough of the modern ML engineer loop: fundamentals, applied ML design, coding, system design, stats round, and the research-vs-applied split.
Compare software engineer salaries at Google, Meta, Amazon, Apple, Microsoft, and Netflix by level.
ATS-friendly software engineer resume templates with company-specific tips for FAANG applications.
Browse 1000+ LeetCode problems with AI-generated optimal solutions and detailed explanations.