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
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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 ->
Push-based KV transfer to improve TTFT, TPOT for disaggregated inference in vLLM
Prefill and decode separated in vLLM vLLM serves as an open-source inference and serving engine for large language models. LLM inference unfolds in two distinct phases. During prefill the system processes the input prompt and buil...
Anthropic pitches AI safety bill that may block a model if 50+ people could be killed
Anthropic's AI safety bill proposal reaches Congress Over the past year concerns have swirled over potential dangers posed by artificial intelligence and debates have raged over proper path for AI safety. Now Anthropic appears to...
How We Made Our AI Agents More Reliable by Giving the Router Less to Do
The monolithic agent problem at Meta scale When Meta deployed AI agents to automate data column onboarding across recommendation systems the team built one smart agent that knew everything. The approach worked in demos but in prod...
latest papersall papers ->
Text-to-Image Generative Modeling Without Language Pretraining
The dominant paradigm for text-to-image (T2I) generation has long relied on internet-scale language pretraining. Models such as those in the LlamaGen and JiT-T2I families incorporate large language model components pretrained on v...
OpenVLHarness: Real World Visual Agentic Tool-Use with Multimodal Memory
Multimodal large models have advanced considerably on visual reasoning tasks, yet a significant gap remains when tasks require evidence beyond internal model knowledge. A controlled evaluation across 22 benchmarks confirms that me...
Reinforcement Learning with Visually Attributable On-Policy Self-Distillation
Multimodal reinforcement learning with verifiable rewards (RLVR) provides reliable task-level supervision, yet offers limited guidance for localizing errors in visual reasoning. On-policy self-distillation (OPSD) complements this...