Development Fundamentals
S.O.L.I.D Principles
Understanding S.O.L.I.D Principles In the world of software development, writing clean, maintainable, and scalable code is crucial. The S.O.L.I.D principle, introduced by Robert C. Martin...
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Intro to Git
Git is a free and open-source distributed version control system designed to handle everything from small to extensive projects with speed and efficiency.
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Data Structures & Algorithms
Data Structures & Algorithms Overview. Linked Lists, Stacks & Queues, Big O Notation, Recursion, Binary & Linear Searches.
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Artificial intelligence (AI) Development GenAI Tools
Claude Code — The Practical Guide to Agentic Coding
Claude Code represents the next evolution of AI coding tools — moving beyond autocomplete and chat assistants toward true engineering collaboration. This guide explains how Claude Code differs from tools like Cursor and Copilot, how context and memory actually work, and how to control AI behavior through commands, integrations, and workflow design.
Artificial intelligence (AI)
AI Fluency Explained: From Simple Prompts to Autonomous Agents
AI fluency isn’t about better prompts. It’s about understanding how to work with AI — when to automate tasks, collaborate with models, or deploy autonomous agents. A practical breakdown of Anthropic’s engagement model and the 4D framework for real-world AI workflows.
Artificial intelligence (AI) LLM
How to Actually Abuse LLMs
Understanding an LLM’s edges matters more than flattering it.
This post explores how deliberately pushing models into conflicting, noisy, or chained prompts reveals their failure modes — and why learning those edges is the core of real prompt engineering.
Artificial intelligence (AI) LLM
Why LLMs Hallucinate — Patterns, Pitfalls, and How to Guard Against It
Hallucination isn’t a mystery glitch — it’s a predictable consequence of how LLMs work. This Field Note breaks down why models fabricate information, the patterns behind it, and practical ways to reason about and mitigate hallucination in real systems.
Artificial intelligence (AI) LLM RAG
How to Build Reliable LLM Pipelines — Grounding, Verification, and Resilience
LLM pipelines aren’t just prompts and models — they’re grounded, verified, cached, and resilient systems. This Field Note breaks down pragmatic patterns like retrieval grounding, verification checks, caching strategies, and reliability practices that keep AI systems dependable beyond demos.
Artificial intelligence (AI) GenAI
From Prototype to Production: A Practical Look at Amazon Bedrock AgentCore
Amazon Bedrock AgentCore marks a turning point in generative AI — shifting agents from impressive prototypes to production-ready systems. This post explores what AgentCore actually is, why deploying autonomous agents has historically been so difficult, and how AWS is redefining the AI stack with managed memory, identity, runtime isolation, and enterprise-grade operational controls.
Architecture
Cybersecurity Corner: From Crypto Heists to Human Rights Commissions – A Week in Review
Welcome back to our Cybersecurity Corner! This week, we’ve got an exciting mix of stories that showcase the dynamic and ever-evolving landscape of digital security. Read more
AWS Cloud
Powering Up Your Cloud Game: A Roundup of Exciting AWS Announcements
Hey tech enthusiasts! 🌞 This week, we’ve got some exciting news from the world of Amazon Web Services (AWS) that will make your cloud-powered projects Read more
Artificial intelligence (AI)
Mastering Agentic AI: Lessons from Google’s AlphaEvolve and Modern Patch Strategies
Welcome, tech enthusiasts! Today, we delve into the fascinating world of Artificial Intelligence (AI) and discuss how organizations can leverage human-in-the-loop mechanisms, collaborative frameworks with Read more
C++ Programming Languages
C++ :: 2025 Reboot :: From Basics to Mastery
After years dominated by managed languages and cloud-native abstractions, C++ is experiencing a quiet renaissance. This post documents a practical reboot of C++ learning in 2025 — returning to fundamentals, rebuilding mental models from memory management to modern standards, and rediscovering why C++ remains essential for performance, systems programming, and understanding how software truly works beneath the abstraction layers.