Educative

What do you do if you find yourself in the middle of a coding interview solving a problem the wrong way? 👀 The way you handle this could actually separate yourself from the rest! #codinginterview #developer #swe #interviewprep #softwareengineer

Very well put, Aditya Singh Sisodiya 👏

Your dashboards say everything is fine. Your customers say checkout is broken. That gap has a cause: logs, metrics, and traces living in separate tools with no shared context, so every incident starts with manual correlation at 2am. The latest edition of the Educative Newsletter makes the case for Observability 2.0, where telemetry becomes an architectural decision instead of an afterthought: unified context across signals, high-cardinality events, and sampling that scales with you. Don't miss it: https://lnkd.in/gqEZfW5P #SystemDesign #Software

Most engineers prepare for a staff-level interview the way they prepared for a senior one: - More system design reps. - Harder algorithm drills. - A bigger version of what worked last time. Then they answer every question, design a reasonable system, and still get told "strong senior, but not quite staff yet." That's because the bar moved. Past senior, interviewers stop asking "can you solve this?" and start asking "can you scope it, defend it, and bring people with you?" Almost nobody prepares for that part. Fahim ul Haq has interviewed hundreds (thousands?) of engineers across his time in FAANG — and built the Grokking series that a generation of candidates used to prep for those rooms. This week, he breaks down what senior-and-above interviews actually measure, and why so many strong engineers stall right at the jump 👇

You can build an AI agent in six weeks. Defending it six months later is the skill the market is starting to reward. Building agents is getting easier. Frameworks are maturing. MCP standardized the tool layer. Prototypes that once took months now take weeks. What's harder is answering the questions that come later: Why did the agent make that decision? Where did this output come from? Can you prove it stayed within its intended scope? Those aren't build problems. They're production problems. As AI agents move into real businesses, engineering is shifting from shipping capabilities to building systems that are observable, governable, and defensible. That's the shift John Cosstick explores in our latest newsletter, where he breaks down the five-layer AI engineering skill stack that's emerging for production AI. Read it here: https://lnkd.in/dJ2mrmaJ #AIEngineering #AgenticAI #MLOps #SoftwareEngineering

A high cloud bill almost never means you're in the wrong place. It usually means the workload was built and paid for badly — and that's fixable without a migration. Naeem ul Haq has been running cloud infrastructure since the early Azure days at Microsoft, and now leads engineering at Educative. In the latest installment of Grokking Weekly, Naeem breaks down the few workloads where leaving the cloud genuinely pays off (and how to tell if yours is one of them) 👇 #CloudComputing #AWS

Two years building production AI agents at Oracle taught Nishal Pattan one thing: AI didn't make engineering easier. It made it harder. A year ago, he says, an agent was basically a pair programmer. Now he hands it a task and it ships. That sounds like less work. It's actually more responsibility. When most people think about AI, they assume it lowers the bar for engineers. Nishal says it raises it — the work moved off writing clean code and onto architecting systems, reviewing output, and applying a zero-trust mindset to everything AI builds. Anyone can prompt an agent. Few can architect the system it runs inside. Read his full breakdown and let us know: in the AI era, what fundamental do you think matters more now, not less? 🔗: https://lnkd.in/d3vFCP7j #SoftwareEngineering #AIAgents #SystemDesign #DeveloperGrowth

One line of SQL can make a query 1,000x faster. The trick is an index — and most developers know that it works without knowing why it works. That's how you end up with indexes that quietly do nothing while your queries crawl through 50 million rows. This carousel breaks down what's actually happening under the hood: why the slow query is slow, why the fast one barely touches your data, and the catch that makes "index everything" terrible advice. Swipe through below 👇 Want to go deeper? Learn SQL for Developers covers indexing, query optimization, and the fundamentals that make databases make sense: https://lnkd.in/dSx4qZ6N #SQL #Databases #SoftwareEngineering #BackendDevelopment #DevTips

Every few years, the internet declares another programming language dead. C#'s obituary has been written a handful of times — which is pretty funny when you consider it continues to power a huge share of the enterprise software on the market. For a dead language, it keeps remarkably busy. This week, Educative's VP of Product is here to walk you through why he thinks C# might just be one of the most resilient programming languages around. #SoftwareEngineering #DeveloperLearning #GrokkingWeekly

What stops an AI agent on your laptop from reading the wrong file and acting on it? A week ago that was hypothetical. But Microsoft and NVIDIA just put autonomous agents directly on Windows, running a 120-billion-parameter model locally on battery — and every machine now has to answer it. Educative's latest newsletter breaks down the kernel-level containment that had to come first, the runtime that hides your credentials before a prompt ever reaches the model, and how the whole stack fits together: https://lnkd.in/gUbEJGgt #SoftwareEngineering #AI