
A Traversy Media host argues that coding interviews are not disappearing in the AI era, they are multiplying and getting harder, while still testing the same underlying judgment they always did. His case blends different kinds of grounding: a personal anecdote about recently interviewing with 11 companies, cited industry data from CoderPad's hiring reports and Anthropic's published candidate AI policy, and claims about OpenAI's and Meta's interview practices that are not tied to a named source. He also asserts, without citing a source, that technical interviews have nearly doubled in the US since 2023. The video closes urging viewers to keep their fundamentals sharp and get fluent with AI tools, alongside a promotion for the hosts' own platform, Start.dev.
Thesis [12:01]: coding interviews aren't dead, there are more of them than ever, and they still test what they always tested, whether you know what you're doing, which AI didn't change.
Please review my resume and the job description. Identify the experiences I should highlight in my application responses that align most with the job requirements.
Create a study guide for interviewing for this job. Outline key topics I should review, including AI safety concepts, Anthropic's research focus, and typical technical or behavioral questions I might encounter.
export function applyDiscount(cart: Cart, codes: Code[]) {
const rules = loadRules(cart.region);
let pct = 0;
for (const code of codes) {
const rule = rules.get(code);
if (!rule) continue;
// NOTE: legacy stacking path - see pricing/rules.ts
pct = Math.min(pct + rule.percent, MAX_PCT);
[...]
return subtotal(cart) * (1 - pct);prev = null while (curr) next = curr.next curr.next = prev prev = curr, curr = next → O(n) time, O(1) space
Learning to code today is like learning horse grooming in 1910. — Sunny Marchetti, @futurestackr
The opening frames a viral claim, coding interviews are dead, then pivots to data, technical interviews nearly doubled since 2023, and backs it with a personal case study of interviewing at 11 companies, which is the thesis plus claims-sorted-by-evidence structure of an opinion essay. OCR of Anthropic's public candidate AI guidance page supports the argument about how interviews are actually run now rather than showing code or a tutorial.
The lens sets this brief's structure, never its facts — every claim is held to the same citation and fact-check standard.