HackerRank just destroyed LeetCode interviews?!

LeetCode is dead… or is it?

HackerRank dropped a bold take that set the internet on fire: “LeetCode is dead,” because devs do not write code line-by-line anymore. We orchestrate AI, debug its output, and catch failures in real time. So if the job changed, should interviews finally change too?

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In this episode, Danny Thompson and Leon Noel break down what HackerRank is really saying, why LeetCode traffic is still exploding, and what the “new interview” is starting to test: fundamentals plus AI fluency.

We talk about the lag you should expect from big companies, how to think about DSA strategically (especially if you are not targeting FAANG), and what modern AI competency looks like in practice. Prompting is not typing faster. It is context engineering. Question, not command.

Then we tackle a listener question: “I’m a junior dev and my job doesn’t use any tools that make me competitive. How do I level up in AI?” The answer is direct: growth is not guaranteed at work, so you have to build it yourself. Tools, models, workflows, and habits that keep you ahead.

If you are prepping for interviews in 2026, this is your roadmap for what to keep, what to drop, and what to add.

✅ If you made it to the end, comment: “Documentation Traffic.” so we know who is a real one!

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Leon Noel

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📧 Have questions for the show? Or are you a business that wants to talk business?

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Subscribe if you want honest, no-hype conversations about where software development is heading in 2026.

Chapters (YouTube)

0:00 HackerRank says “LeetCode is dead”

1:15 Welcome + intros (Danny Thompson, Leon Noel)

1:55 Danny’s Atlassian update: Forge, Marketplace reach, and what’s coming

3:26 Why this HackerRank post matters (they have the hiring data)

4:34 Interviews must evolve: testing AI usage, not just algorithms

5:14 HackerRank’s AI IDE idea: evaluating prompts and process

6:34 “LeetCode isn’t dead” counterpoint: traffic is climbing again

7:24 Why adoption lags: companies will keep old interviews for years

9:12 Practical strategy: DSA still opens doors, but it’s not the only door

10:59 Sponsor: Auth0 (identity for AI agents)

11:46 FAANG vs non-FAANG prep: how deep you actually need to go

13:03 Some companies “think they’re FAANG” and what that signals

13:52 Interview mindset shift: show everything, don’t hope they notice

15:57 The new skill set: fundamentals + AI fluency

16:31 Why most people think AI “sucks” and how to fix it

18:05 The core: context before commands (index first, act second)

20:35 Vibe coding vs AI engineering: the difference is the setup

21:45 Transactional prompting trap + the “drop shadow” example

23:09 Use AI like a blunt senior engineer to challenge your assumptions

25:00 “Question, not command” as a simple upgrade

25:36 The new layer: tools, agents, MCPs, workflows, AI-augmented engineering

27:42 Internal knowledge tools (Rovo) and why focused context wins

29:25 Ask Danny & Leon: “My job doesn’t use AI tools. How do I stay competitive?”

29:57 “Learning doesn’t happen on the job” and how to level up outside work

31:10 Try models, tools, and agentic workflows (Cursor, etc.)

32:06 Bring the value back to work: prove productivity, then ask for adoption

33:00 Your circle changes your ceiling (community as a force multiplier)

35:09 A job dictates pay, you dictate worth

36:19 Closing: keep learning, keep growing, see you next episode