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 ->
Show HN: Golang DL/ML primitives with inference, diffusion, vision, systemone
A new Go inference engine called dlgo lets developers run GGUF models locally without Python, CUDA, or external runtimes. The project handles text generation, vision tasks, and image synthesis through a single binary that targets...
AI agents aren't 'going rogue.' Frontier labs are skipping security basics
Cybersecurity experts attribute recent AI model incidents to lab failures implementing established security practices rather than agents developing independent minds. Since July, US frontier AI labs and other AI leaders disclosed...
AI Cost Transparency Report Q4 2026: 10 providers, 25 criteria, open dataset
The AI Cost Transparency Report Q4 2026, frozen on 2026-10-13, maps what ten providers disclose about pricing against what 32 models actually cost across four declared workloads. The report scores each provider on 25 binary criter...
latest papersall papers ->
ChunkAct: Action Chunking for Agentic Robotics
Agentic robotics places a large language model (LLM) agent in the robot control loop, where it composes perception, motion, and vision-language-action (VLA) tools under the guidance of a memory and thereby generalizes to new tasks...
Dog-Breed Text-to-image Flow Matching from Pretraining to Fine-Tuning on 4 Consumer GPUs
We generally perceive that training text-to-image diffusion models requires heavy compute: it is true if we aim at a comprehensive frontier model. This understanding prevents people from training their own models when getting star...
Tev: Scaling Long-Horizon Agentic Environments with Dense Progress Rewards
The problem this paper tackles is the failure of open‑source models to operate autonomously on long‑horizon tasks that span economically valuable work, from multi‑hour computations to multi‑day projects. Such a capability is essen...