educative.blog
For developers, by developers
Trending
Solutions architect tasks explained from pre sales to delivery
This blog breaks down what solutions architect tasks actually look like beyond diagrams and theory. You’ll see how the role spans both pre-sales and delivery, focusing on making practical, risk-aware decisions that align business goals with technical realities. It walks through daily responsibilities, key deliverables, stakeholder dynamics, and the habits that help solution architects stay effective in complex environments.
Zarish Khalid
Apr 2 · 2026
What the Claude Code leak reveals about AI systems
Anthropic’s Claude Code leak exposed how AI systems are built, revealing risks, architecture insights, and what it means for the future of AI development.
Mishayl Hanan
Apr 2 · 2026
A developer’s guide to the solutions architect career path
This blog explains how to navigate the solutions architect career path by highlighting the shift from coding-focused work to system-level thinking and decision-making. It outlines how developers evolve into architects by building strong foundations, gaining system design expertise, understanding distributed systems, and developing communication skills.
Naeem ul Haq
Apr 2 · 2026
How does agentic AI differ from traditional automation?
This blog explains how agentic AI differs from traditional automation by contrasting rule-based, predefined workflows with systems that can plan, reason, and adapt dynamically. It highlights architectural differences, real-world examples, and the shift toward more autonomous AI systems that handle complex, multi-step tasks.
Zarish Khalid
Apr 2 · 2026
How to prepare for low-level design questions in tech interviews
Learn how to prepare for low-level design questions in tech interviews with a practical roadmap, real examples, expert strategies, and proven resources to build strong LLD skills.
Areeba Haider
Apr 2 · 2026
How to get started with Express.js for web development
Learn how to get started with Express.js for web development, including middleware flow, architecture fundamentals, and a structured path to building maintainable backend APIs.
Areeba Haider
Apr 2 · 2026
What is Reasoning in LLMs
Learn what reasoning in LLMs is, how large language models simulate multi-step thinking, and the techniques that improve AI problem-solving and logical analysis.
Mishayl Hanan
Apr 2 · 2026
Key principles of machine learning every developer should know
This blog explains the key principles of machine learning every developer should understand, including concepts like training data, feature engineering, bias–variance tradeoff, and model evaluation. It also covers essential ideas such as supervised learning, generalization, and the typical ML workflow to help build reliable models.
Khayyam Hashmi
Apr 1 · 2026
How to prevent data leakage in machine learning
This blog explains how to prevent data leakage in machine learning by identifying common causes like improper data splits, preprocessing mistakes, and target leakage. It outlines best practices such as separating training and test data early, applying transformations correctly, and following structured workflows to build reliable models.
Zarish Khalid
Apr 1 · 2026
