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23 articles tagged AI - interview prep, system design, and career guidance.
AZ-500 retired on August 31, 2026. Its replacement, SC-500, keeps most of the Azure security core and adds a large block on securing AI: Entra Agent ID, Purview DSPM, Foundry guardrails and more. Here is what changed and how to study.
Microsoft retired AI-900 on June 30, 2026 and replaced it with AI-901. Same certification, very different exam: the machine learning domain is gone, and more than half the exam is now hands-on Microsoft Foundry work.
AI system design is now its own interview round. Here are the questions you'll face on LLM inference platforms, RAG pipelines, semantic search, KV caching, batching, and evals - and how these rounds differ from classic system design.
Hiring managers see 50 ChatGPT-wrapper portfolios per week. They're not impressed by another one. Here's what an AI side project needs to look like in 2026 to actually move a hiring decision - with concrete project ideas that have landed people offers.
AI engineering is the highest-leverage career switch a strong web developer can make in 2026. The skill bar is reachable in 4-6 months, the comp is 30-60% higher, and your existing product engineering chops are more valuable than you think. Here's the actual playbook.
The classic whiteboard coding interview is dying. Take-homes, pair programming, AI-assisted live coding, and codebase walkthroughs are filling the gap. Here's how to prep for each.
AI startups don't interview like FAANG. They don't care about LeetCode mediums or whiteboard tree problems. They want to know if you can ship features on top of foundation models that actually work for users. Here's how to prep for what they actually ask.
Three of the hottest roles in tech share overlapping job titles but very different day-to-days, skill stacks, and compensation curves. Here's how to tell them apart - and pick the path that actually pays you.
80,000 tech jobs were cut in Q1 2026. Meta announced 10%. Oracle cut 30,000. Roughly half of those cuts were directly attributed to AI. If you just got laid off, or you are about to, this is the post-layoff playbook.
Most companies now allow AI assistants in coding interviews. The catch: they are watching for 'vibe coding' - pasting AI output without understanding it. Here is how to use Cursor, Copilot, and Claude in an interview without failing the round.
Forward Deployed Engineer is the fastest-rising role in tech, with TC ranging from $400K to $875K at OpenAI, Anthropic, Palantir, and ElevenLabs. The interview loop is unlike anything else. Here is the actual playbook.
Agent engineering is the hottest hiring category in AI right now, and the interviews look nothing like last year's. 40 real questions covering agent design, LangGraph, tool use, multi-agent orchestration, and production reliability - with answers that reflect what interviewers actually want to hear.
Take-homes and debug rounds are replacing LeetCode at many shops because candidates can paste prompts into AI. Here is what interviewers are actually looking for now, how to use AI assistance without getting caught looking sloppy, and the mistakes that lose offers.
MLOps interviews in 2026 are not about knowing what MLflow is. They are about whether you can operate an AI system in production - feature stores, serving, evals, observability, cost. 35 real questions with answers that reflect what interviewers at top AI teams are looking for.
78,000 tech jobs were cut in Q1 2026, with nearly half tied to AI. At the same time, software engineering job listings are up 30%. Here is an honest, practical guide to positioning yourself on the right side of that split.
The LLM interview questions actually being asked at top AI companies in 2026 - from transformer fundamentals to RAG pipelines, fine-tuning, and production deployment. With real answers, not textbook definitions.
RAG has become its own interview category. Here are the questions you'll face on chunking, embeddings, vector databases, retrieval strategies, and production RAG systems - with detailed answers.
Everyone's using AI to prep for interviews. But most people are using it wrong. Here's an honest breakdown of which AI tools actually help, which are a waste of time, and how to use them effectively.
How is AI changing software engineering jobs in 2026? The data on which developer roles are growing and which are shrinking - across backend, frontend, and full-stack - plus salaries and the skills that command a premium.
AI tools have changed how the best candidates prepare for technical interviews. Here's how to use them effectively - without falling into the traps that hurt more than they help.
MCP is the open protocol that connects AI models to tools and data. Learn how it works, who's adopting it, and why it matters for your career as a developer.
Google's Agent2Agent protocol lets AI agents talk to each other across frameworks and vendors. Here's what it is, how it works, and why it matters for your career.
OpenClaw is the fastest-growing open-source AI agent in 2026 with 228K+ GitHub stars. It had a rough security start, but the project has matured significantly. Here's what it is, what changed, and how advanced users can deploy it properly.