Explore and learn with me
This platform is a clean space to explore technology, understand real concepts, and learn through practice. Everything here is built to help you improve step by step.
Learn
Take tests
Ask questions
Find code examples
Python basics
Databases & authentication
Automations
Prompt engineering
Web development basics
Real projects
Today in Tech
I Built a Red Team of AI Agents to Attack My Code. Here is the Full Technical Report
Fresh AI, programming and Big Tech news. Scrollable decks, neon accents — maximum focus with minimal scrolling.
Useful Websites
# https://same.new/ # https://stackoverflow.com/ # https://21st.dev/community/components # https://chathub.gg/ # https://www.enki.com/ # https://www.n2yo.com/api/ # https://www.data.com/ # https://devdocs.io/ # https://roadmap.sh/ # https://regex101.com/ # https://jsoncrack.com/ # https://www.postman.com/explore # https://replit.com/ # https://codesandbox.io/ # https://github1s.com/ # https://freecodecamp.org/ # https://overapi.com/ # https://cssbattle.dev/ # https://ui.shadcn.com/ # https://phind.com/ # https://omni.studio/ # https://rapidapi.com/ # https://apipost.com/ # https://metatags.io/ # https://tinywow.com/ # https://jwt.io/ # https://http.cat/ # https://httpstatus.io/ # https://uxdesign.cc/ # https://systemdesign.one/ # https://excalidraw.com/ # https://app.diagrams.net/ # https://deepai.org/
AI — Latest Models & Research
AI
I Built a Red Team of AI Agents to Attack My Code. Here is the Full Technical Report
The complete technical breakdown of Operation Obsidian Stress: 4 Shield bypass vectors, the 8-step normalization pipeline, lookback buffer implementation, and performance benchmarks. v0.6.1rc2.
DEV Community
AI
Wednesday Code Autopsy #4: The Canvas Arc Nobody Uses - PC Workman
Needed circular progress gauge. Googled "Python circular progress bar." Every answer: pip install...
DEV Community
AI
ctxwatch — I Built the Missing Context-Saturation Daemon for Claude Code in 4 Hours
Six tools measure whether your Claude Code wallet is empty. Zero measure whether your brain is full. 600 lines of stdlib Python closing that gap.
DEV Community
AI
Who Audits the Auditors? Building an LLM-as-a-Judge for Agentic Reliability
Stop "vibe-checking" your AI agents. Learn how to build a production-grade 'Judge Agent' that audits your team against a Golden Dataset, providing quantitative reliability scores and an automated path to optimization.
DEV Community
AI
OpenClaw AI Agent vs CrewAI: I Chased the Hype and Found Something Better [2026]
I tried to build with Dev.to's hyped OpenClaw AI agent and hit a wall. Then I built a working multi-agent system with CrewAI in 40 minutes. Here's the full comparison.
DEV Community
AI
How I Batch-Process 100K Rows with LLMs Without Losing My Mind (or My Money)
I had a 158,000-row product catalog. Each row: a free-text description. I needed structured...
DEV Community
AI
Build a voice-enabled Telegram Bot with the Gemini Interactions API
What if your Telegram bot could listen? Not just read text — actually understand voice messages,...
DEV Community
AI
Tu agente de IA se olvidó de todo. Otra vez. Así lo arreglamos.
Hay un problema que nadie habla lo suficiente sobre los agentes de IA. Se olvidan de todo. No de...
DEV Community
AI
I Built an Offline Threat Hunting CLI That Parses EVTX, JSON, Syslog & CEF Logs
If you've ever worked in a SOC or done any incident response, you know the pain: you've got a pile of...
DEV Community
AI
How I built a progress bar library in 300 lines of Python
I wanted a pretty progress bar for my scripts without pulling in a big library. So I built one from...
DEV Community
AI
111 Tests, 17 PDFs, and a 44-Item Security Checklist: What Production-Ready Should Actually Mean
Most boilerplates ship zero tests. Here is what we ship instead... and why it matters.
DEV Community
AI
SpatialEvo: Self-Evolving Spatial Intelligence via Deterministic Geometric Environments
Spatial reasoning over three-dimensional scenes is a core capability for embodied intelligence, yet continuous model improvement remains bottlenecked by the cost of geometric annotation. The self-evolving paradigm offers a promising path, but its reliance on model consensus to construct pseudo-labels causes training to reinforce rather than correct the model's own geometric errors. We identify a p
arXiv