Meta Interview Questions & Trends 2026 Q2: AI-Native Coding, OA, VO & BQ
Overall Trend
Meta's 2026 Q2 cycle marks the biggest interview-process overhaul in years: starting April 16, 2026, every newly scheduled full loop switches to AI-Native — both coding rounds require AI-assist, the System Design round adds a new AI-Enabled SWE System Design variant, and the Behavioral round becomes AI-Oriented BQ. CoderPad now exposes a model picker (Claude Opus 4.6, GPT-5.x, Sonnet) and from mid-March onwards the AI writes directly into the editor (Cursor-style). Traditional 2-LC phone screens still exist, but onsite is fundamentally different. Meanwhile the forum is full of "passed everything but rejected + 1-year cooldown" reports, [hidden].
For coverage: traditional SWE rounds still center on Tag-list classics (phone screens are 35–40 minutes for two problems, speed-first); MLE tracks lean on recommendation / ranking MLSD plus project deep-dive; Data Engineering candidates now face a separate 60-minute AI-Native Full-Stack round covering Business Case + Data Modeling + SQL + Python in one continuous scenario. [hidden]
Question-Type Distribution
| Type | Count | Share |
|---|---|---|
| General Coding (incl. AI Coding) | 86 | 55% |
| System Design / MLSD | 48 | 31% |
| ML Coding / Debugging | 8 | 5% |
| Behavioral / Other | 14 | 9% |
Top 10 Hot Topics
| Rank | Topic | Count | Sample threads |
|---|---|---|---|
| 1 | AI Coding · Maze Solver (BFS / keys&doors / bombs, 5 escalations) | 13 | thread1, thread2, thread3 |
| 2 | AI Coding · Maximum Unique Character Subset | 10 | thread1, thread2, thread3 |
| 3 | Kth Largest Element / Quick Select (LC 215) | 8 | thread1, thread2, thread3 |
| 4 | [hidden] | [hidden] | [hidden] |
| 5 | [hidden] | [hidden] | [hidden] |
| 6 | [hidden] | [hidden] | [hidden] |
| 7 | [hidden] | [hidden] | [hidden] |
| 8 | [hidden] | [hidden] | [hidden] |
| 9 | [hidden] | [hidden] | [hidden] |
| 10 | [hidden] | [hidden] | [hidden] |
Question Index
AI-Enabled / AI-Native Coding
Log in to continue reading the full content
General Coding (Phone Screen / Onsite)
Log in to continue reading the full content
System Design
Log in to continue reading the full content
ML System Design (MLSD)
Log in to continue reading the full content
MLE Coding & Project Deep-Dive
Log in to continue reading the full content
Difficulty Trend
The bar isn't unusually high, but the fast pacing plus AI-Coding's expanded scoring dimensions mean even strong candidates often get rejected — perceived difficulty has gone up.
- Traditional coding: [hidden]
- AI Coding: [hidden]
- OA: [hidden]
- System Design: [hidden]
- MLSD: [hidden]
Log in to continue reading the full content
Notable Changes
- AI-Native Full Loop (effective April 16): [hidden]
- New AI Coding question bank: [hidden]
- CoderPad goes Cursor-style: [hidden]
- HC freeze + 1-year cooldown: [hidden]
- DE's standalone AI Native Full Stack round: [hidden]
- OA themes refreshed: [hidden]
Log in to continue reading the full content
