Developer docs,
distilled.
In-depth courses on web scraping, anti-bot evasion, cybersecurity, and networking, plus learning roadmaps for engineers who value their time. No fluff, just the implementation.
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coursesall topics ->
Web Scraping
67 lessons
A complete web scraping course: HTTP and parsing fundamentals, crawling, browsers, anti-bot engineering, and production-scale data pipelines.
01 HTTP Basics for Scraping02 Understanding HTML Structure03 requests, Sessions & Headers
67 lessons · free
start ->
Cybersecurity
42 lessons
Concepts, attack vectors, and defensive techniques for application and network security.
01 Encryption02 Hashing vs Encoding03 Digital Signatures and PKI
42 lessons · free
start ->
featured roadmapsall 39 roadmaps ->
Web Scraping
15 topics
01 Foundations02 Core Concepts03 Intermediate Skills
4 stages open roadmap ->
Cybersecurity
16 topics
01 Foundations02 Offensive03 Defensive
4 stages open roadmap ->
Frontend Development
40 topics
01 Internet Fundamentals02 HTML Fundamentals03 CSS Styling
8 stages open roadmap ->
Backend Development
38 topics
01 Internet & OS02 Languages03 Relational Databases
8 stages open roadmap ->
Python
116 topics
01 Foundations02 Core Concepts03 Intermediate Skills
29 stages open roadmap ->
Machine Learning & AI
17 topics
01 Mathematics02 Fundamentals03 Deep Learning
4 stages open roadmap ->
latest newsall news ->
Developers Reporting Double-Digit Weekly Time Savings From AI Fell From 68% to 26%
The share of developers reporting ten or more hours saved each week through AI fell from 68% to 26% in a year, according to Atlassian’s State of Developer Experience 2026. Adoption over the same period became close to universal, w...
Tech market feels like a data entry job
A software engineer with top 10% resume and years of hands-on development experience spent hundreds of hours populating custom hiring forms for one or two companies. Despite keeping pace with modern tools like AI-generated meeting...
Show HN: Limma – MCP for total recall and precision in data retrieval for agents
Your AI agent is only as good as what it finds. Limma reads your company's documents and data, builds a structured map of every detail in them, and gives your agent exactly what it asks for: the complete answer, with proof. Why ch...
latest papersall papers ->
SceneBloom: Agentic Indoor Environment Generation with Realistic and Diverse Layouts for Embodied Learning
Training generalizable embodied agents requires realistic, varied, and simulation-ready indoor environments. Language-guided methods support semantic planning and object-level reasoning, but precise spatial grounding remains diffi...
RobustRLlib: A Unified Library and Benchmark for Robust Reinforcement Learning Algorithms
Robust reinforcement learning (RL) is critical for reliable real-world deployment, where policies may fail under diverse shifts and disruptions. Existing robust RL algorithms offer a rich set of mechanisms and principles, yet two...
Measure Before You Train: Typed Decision Models vs. a Classical Baseline vs. a Generative LLM for Routing a Personal Multilingual Inbox
Personal email agents decide, for every message, what it is, whether it is urgent, whether to draft a reply, create a task, or ignore it. Their error rate is rarely measured: the stored labels were written by the system itself. We...