Articles & Tutorials
149 technical articles covering AI, Machine Learning, Cybersecurity, Data Science, and Programming. Practical guides, tutorials, and deep dives — written for developers.
12 articles in Cybersecurity
Why Fair Benchmarking Matters
Key Takeaway --> 🎯 Key Takeaway Fair benchmarking requires controlled conditions: same repository, same commit, same task, same configura…
The 8 Components of a Strong Portfolio
A GitHub portfolio isn't a collection of code — it's a signal to employers that you can build software, not just write scripts. Every file …
The 11-Stage AI Engineer Roadmap
AI engineering in 2026 is a distinct discipline requiring Python, machine learning, deep learning, LLMs, API design, RAG, agents, MCP, eval…
The 10-Stage Data Science Roadmap
Data science in 2026 spans far beyond machine learning. A complete data scientist needs Python, statistics, SQL, visualization, ML, deep le…
Build a Production-Style Python CI Pipeline
Key Takeaway --> A production CI pipeline goes beyond running tests. It combines pytest for correctness, linting for code quality, securit…
Why AI Systems Need Audits
Auditing an AI system requires structured evaluation across eight domains: Data, Model, Security, Evaluation, Privacy, Oversight, Monitorin…
Why One Agent Isn't Enough
Key Takeaway --> 🎯 Multi-agent systems split complex tasks across specialized agents—planner, coder, tester, security, reviewer—eac…
The Modern AI-Assisted Workflow
Key Takeaway --> 🎯 AI agents can handle implementation, testing, and commits—but the human remains responsible for requirements, se…
The Prototype Gap
Moving a RAG system from prototype to production requires far more than better prompts. It demands evaluation frameworks, security controls…
Why Evaluating RAG Is Harder Than It Looks
Key Takeaway --> 🔑 KEY TAKEAWAY
Keyword Search vs Semantic Search
Semantic search finds documents by meaning, not just keywords. By building a search engine from scratch — embedding documents, computing co…
What Is a Terminal Coding Agent?
Terminal AI coding agents and AI-native IDEs use the same underlying models but represent fundamentally different development philosophies.…