Practice on verified questions sourced weekly from engineer reports across Glassdoor, Blind, and Reddit. Scored on the exact production rubric top AI companies use in real interviews.
726 engineers practicing. 150 new signups this week.
“The questions are really good. They are clear and concise, forcing you to think deeply, similar to a stressful interview or coding test. The 'golden truth' answers are much better than asking ChatGPT even with heavy steering.”
“It's rare to see something that feels both technically sharp and thoughtfully designed at the same time.”
“As a Drexel student constantly applying across roles, from AI Engineer to Data Engineer, Velocode has been a useful addition to my interview prep routine. Even in my early uses, the production scoring opened my eyes to gaps I didn't know I had. It has been telling me if my code works; it breaks down exactly where you fell short on things like architecture and token efficiency. I also like the fact that it covers multiple tracks means I can pivot my prep depending on which interview is coming up next without switching platforms. Still early in my journey with it, but it's already changed how I think about preparing for technical interviews!”
“Velocode quickly helped me identify my baseline AI skill level and provided a tailored roadmap for what to focus on next. As I worked through the different problem sets, the detailed scoring rubric pinpointed exactly where I needed improvement. By learning these concepts through Velocode, I felt much more confident articulating complex AI topics to both highly technical audiences and executive stakeholders in a clear, effective way.”
“Hands down the best platform for breaking into AI Security. Everything is built in, so you can go from learning prompt injection techniques to exploring RAG and Agentic AI security without spinning up a dedicated lab or thousands of dollars on certifications that barely scratch the surface of what's covered here.”
“The question bank is really amazing. The exact questions being asked in interviews are there to practice, and most importantly the broken architecture questions. Token efficiency as a first-class dimension, not an afterthought — that's the gap no other platform closes. The 3-LLM golden answer tournament is a genuinely smart solve too. Single-model answers have a ceiling that cross-scoring breaks through.”
“While most AI interview prep resources feel fragmented and noisy, Velocode stood out as my comprehensive, one-stop solution.”
“Most platforms just tell you if your answer was right. Velocode scores how you actually think, how you use AI tools, whether you caught the failure modes, your reasoning. It felt way closer to a real interview signal than a simple right/wrong.”
“Velocode fills a gap that no other platform does — it's not just about solving the problem, it's about reasoning through it under pressure, and that's exactly what real AI interviews test. I finally feel like I'm preparing for the right thing.”
Prep for the exact role you're targeting.
RAG systems, LLM apps, agents, vector databases, prompt engineering, fine-tuning, AI architecture
$150k-$220k
Model training, MLOps, deployment, monitoring, serving infrastructure, data pipelines, ML governance
$140k-$200k
SQL, ETL/ELT pipelines, Spark, dbt, Airflow, Snowflake, data modeling, streaming, data warehouses
$120k-$180k
Prompt injection, adversarial ML, model security, red-teaming, AI compliance, data privacy, governance
$150k-$210k
Modern software engineering is AI engineering. Google, Meta, and top tech companies have redesigned their hiring around one question: can you read, debug, and improve code using AI as a tool? This domain is built around that new format — real code comprehension problems from verified company interviews, with an embedded AI assistant and scoring across prompt quality, output validation, and debugging skill.
$140k-$220k
Three independent AI agents score your submission on the same dimensions used in real AI engineering interviews — not just whether tests pass.
Then a 3-LLM golden answer tournament (Claude + GPT-4o) synthesises the definitive solution — better than any single model can produce.
def rag_with_citations(query, docs):
chunks = chunk_by_semantic_boundary(docs)
embeddings = embed(chunks)
top_k = retrieve(query, embeddings, k=5)Unlike generic AI mock interviews, Velocode reads your actual submission scores and builds a session targeting exactly where you scored lowest.
Scored 34/100 on token efficiency? The interviewer will probe that. Scored 81/100 on security? It moves on.
1 free session lifetime on Free; 3 sessions/month on Pro. Add-on sessions are $8.99 each or $25 for a 5-pack.
Four steps from your first submission to a production-ready answer.
Engineers report interview questions across multiple platforms each week. Our team verifies every one. Claude identifies individual questions, deduplicates against existing content, and classifies by domain before human review and publishing.
Every approved problem goes through a 3-LLM golden answer tournament before publishing. No static, single-author solutions. The best answer wins.
Other platforms prep you for phone screens. Velocode preps you for the actual role.
← Scroll to compare →
| You're hereVelocode$19.99/mo$49.99/3mo | HackTheRounds$12/mo | LeetCode$35/mo | Hello Interview$47/mo | InterviewDB$49/mo | Exponent$79/mo | |
|---|---|---|---|---|---|---|
Problems across all five engineering tracksVelocode onlyAI Engineer · ML Engineer · Data Engineer · AI Security · SWE (AI-Era) | ✓ | — | — | ~ | — | ~ |
Company-tagged questionsCurated from real interview reports | ✓ | ~ | ✓ | ✓ | ✓ | ✓ |
Production-grade scoringVelocode onlyNot just test pass/fail | ✓ | — | — | — | — | — |
Your score vs golden answerVelocode onlyDimension-by-dimension comparison | ✓ | — | — | — | — | — |
3-LLM tournament golden answerVelocode onlyClaude + GPT-4o cross-scored, best synthesised | ✓ | — | — | — | — | — |
Simulator targets your weak spotsVelocode onlyReads your submissions, probes weakest dimensions | ✓ | — | — | — | — | — |
Senior engineer walkthroughsAnnotated code, staff-level thinking | ✓ | — | ✓ | ✓ | ✓ | ✓ |
Updated weekly from live sourcesReddit, Glassdoor, Blind, GitHub, HN, blogs | ✓ | — | — | ~ | ~ | ~ |
No contracts. Cancel any time. All your progress and submissions are saved regardless of plan.
Every week you wait is a week of real company questions you haven't practiced. Start free — no credit card.