Welcome to BankyBluePrints - Build Better, Faster
Concise, actionable guides for developers and architects. Skip the fluff and get straight to what works in production.
🧠 AI Concepts & Architecture
Section titled “🧠 AI Concepts & Architecture” 🤖 AI Agents & Agentic AI What AI agents are, how they reason and act, and why agentic AI is reshaping how software gets built.
🔌 MCP — Model Context Protocol The open standard that lets AI agents connect to databases, APIs, and tools. USB for AI — write once, works with any model.
🤖 Physical AI AI in robots, autonomous vehicles, and edge devices. How AI is moving from screens into the physical world.
⚠️ Risks of Agentic AI Compounding errors, prompt injection, cost runaway, jailbreaking — the real challenges of deploying autonomous AI agents safely.
🔗 AI Frameworks & Orchestration
Section titled “🔗 AI Frameworks & Orchestration” ⛓️ LangChain The leading framework for building LLM applications — chains, RAG, agents, memory, and tool use in Python and TypeScript.
🕸️ LangGraph Stateful, graph-based multi-agent orchestration. Build agent loops, supervisor patterns, and human-in-the-loop workflows.
👥 CrewAI Role-based multi-agent framework. Define a crew of specialised agents — researcher, writer, reviewer — and orchestrate them as a team.
📰 Multi-Agent Pipeline End-to-end example: research, write, score, rewrite, and publish a LinkedIn article using a chain of AI agents.
🧪 AI Harness Engineering
Section titled “🧪 AI Harness Engineering” 🧪 What is AI Harness Engineering? Evaluation harnesses for AI — systematic frameworks to test, benchmark, and validate LLMs, RAG pipelines, and agents before and after production.
🔬 Evaluation Frameworks lm-evaluation-harness, HELM, OpenAI Evals, DeepEval, and Promptfoo — the tools used to benchmark and compare AI models.
📊 Benchmark Datasets MMLU, HumanEval, GSM8K, BIG-Bench, GPQA — the standard benchmarks explained, plus how to build your own golden evaluation dataset.
🔍 RAG Evaluation Evaluate retrieval and generation separately using Ragas and TruLens. Faithfulness, answer relevancy, context recall, and context precision metrics.
⚙️ Automated Eval Pipelines Wire evaluation into CI/CD with GitHub Actions. Auto-block deploys when quality scores drop below threshold.
🔴 Red Teaming & Safety Systematically test for prompt injection, jailbreaks, toxicity, and bias using Garak and adversarial prompt datasets.
⚡ Performance Benchmarking Measure TTFT, total latency, cost per request, and throughput. Compare models on speed and price before committing.
🔄 Regression Testing Detect quality degradation from model updates, prompt changes, or retrieval changes using baselines and A/B evaluation.
🖥️ Run & Deploy AI
Section titled “🖥️ Run & Deploy AI” 💻 Local LLMs Run Llama, Mistral, and Phi models entirely on your own machine with Ollama and LM Studio. No cloud, no cost, full privacy.
🐳 AI on Docker & Kubernetes Containerise AI agents, run local LLMs in Docker, deploy to Kubernetes, ECS, Lambda, and AWS Bedrock.
🛡️ AI Governance & Safety Monitoring, observability, jailbreaking defences, CICD for AI, and governance frameworks for production AI systems.
📖 AI Fundamentals Core AI/ML concepts, model landscape, and the foundational ideas behind modern AI systems.
🖥️ AI-Native IDEs
Section titled “🖥️ AI-Native IDEs”Complete IDEs rebuilt from the ground up around AI — not extensions bolted onto an existing editor.
🖱️ Cursor The leading AI-native IDE. A VS Code fork rebuilt around AI with codebase-aware chat, Composer agent mode, and your choice of Claude, GPT-4o, or Gemini.
🌊 Windsurf AI-first IDE from Codeium. Cascade agentic editing understands your full project context. Supercomplete predicts your next edit, not just the next line.
🟧 AWS Kiro Amazon's AI IDE with spec-driven development. Generates a full requirements spec before writing a single line of code. Built-in MCP, Hooks, and steering files.
🔌 AI Agents Inside Your Existing IDE
Section titled “🔌 AI Agents Inside Your Existing IDE”AI extensions and agents that work inside VS Code, Visual Studio, JetBrains, or Vim — without switching editors.
🐙 GitHub Copilot The world's most-used AI coding extension. Works inside VS Code, Visual Studio, JetBrains, and Vim. Inline completions, chat, and Agent Mode.
🧑💻 Claude for VS Code Anthropic's Claude extension for VS Code. Chat with Claude about your open files, get inline suggestions, and run Claude Code from within the editor.
⚡ Codex in VS Code OpenAI's Codex powers GitHub Copilot and is also available as an extension. Inline completions and chat directly inside your editor.
⚡ Standalone AI Coding Tools
Section titled “⚡ Standalone AI Coding Tools”Dedicated AI tools that are not full IDEs — they run in your terminal, browser, or as a separate app alongside your existing workflow.
🧑💻 Claude Code Anthropic's terminal AI agent. Runs in your terminal alongside any editor — reads your codebase, edits files, runs tests, and commits changes autonomously.
⚡ OpenAI Codex (Agent) OpenAI's cloud-based coding agent. Runs tasks in a sandboxed environment, opens GitHub PRs, and executes multiple tasks in parallel.
🔮 Google Anti-Gravity Google's standalone AI coding tool powered by Gemini 2.5. 2M token context, Google Search grounding. Not an IDE — a separate AI coding app.
🌐 Gemini CLI Google's open-source terminal AI agent. Free tier with 1M token context and Google Search grounding. Runs in any terminal alongside your editor.
💬 AI Chat Apps
Section titled “💬 AI Chat Apps” 🤖 ChatGPT OpenAI's flagship AI assistant. GPT-4o, DALL-E image generation, web browsing, code interpreter, and custom GPTs.
🟣 Claude Anthropic's AI assistant. Best-in-class for long documents (200K context), safety, and nuanced reasoning.
🌈 Google Gemini Google's AI with up to 2M token context. Native Google Workspace integration, image gen, and YouTube understanding.
🪟 Microsoft Copilot GPT-4o powered assistant built into Windows, Edge, Teams, Word, Excel, and PowerPoint.
☁️ Cloud Platforms
Section titled “☁️ Cloud Platforms” 🟦 Microsoft Azure Azure services, certifications (AZ-900), CLI, storage, networking, and deployment guides.
🟧 Amazon AWS EC2, Lambda, S3, RDS, DynamoDB, VPC, EKS, DevOps, and the comprehensive Azure vs AWS vs GCP comparison.
🔴 Azure vs AWS vs GCP Side-by-side service comparison across all categories. Essential for Azure pros learning AWS.
🌐 Google Cloud (GCP) GCP fundamentals, services, and comparisons with Azure and AWS.
💻 .NET & C#
Section titled “💻 .NET & C#” 💻 C# C# language guide — basics, generics, async/await, LINQ, pattern matching, records, and interview questions.
🌐 .NET .NET platform overview, versions from .NET 1 through .NET 9, and the evolution of the runtime.
⚡ Web API (ASP.NET Core) Build REST APIs with ASP.NET Core — routing, controllers, middleware, authentication, and Swagger docs.
💙 PowerShell PowerShell scripting for automation, DevOps workflows, and Windows/cross-platform administration.
🌐 Frontend
Section titled “🌐 Frontend” 📜 JavaScript Modern JavaScript — ES2024, async/await, modules, closures, Promises, the event loop, and interview prep.
🟦 TypeScript Type-safe JavaScript at scale — interfaces, generics, decorators, utility types, and advanced patterns.
🅰️ Angular Enterprise SPA framework — components, signals, standalone APIs, RxJS, lazy loading, and Micro Frontends.
⚛️ React React hooks, context, performance patterns, React Router, forms, and custom hooks.
💚 Vue.js Progressive JavaScript framework — Composition API, Pinia state management, Vue Router, and Nuxt.
🔥 Blazor Build interactive web UIs in C# instead of JavaScript — WebAssembly and server-side rendering.
🟩 Node.js Server-side JavaScript — REST APIs with Express, streams, file system, environment variables, and interview prep.
🌐 Static Sites Hugo, Astro, Jekyll, Docusaurus, Gatsby, VitePress, and MkDocs — compared and explained.
🔧 DevOps & Infrastructure
Section titled “🔧 DevOps & Infrastructure” 🌿 Git Git fundamentals, branching strategies, merge vs rebase, cherry-pick, hooks, and a full cheatsheet.
🐙 GitHub GitHub Actions, packages, security, teams, and a full GitHub Copilot integration guide.
🐳 Docker Containerise applications, Docker Compose, volumes, networking, multi-stage builds, and registries.
☸️ Kubernetes K8s architecture, pods, deployments, services, ingress, Helm charts, and horizontal autoscaling.
🌍 Terraform Infrastructure as Code — providers, modules, state management, and deployments to AWS and Azure.
🛠️ DevOps Practices DevOps culture, CI/CD, Harness engineering platform, TeamCity, Ansible, and Liquibase.
🦊 GitLab GitLab CI/CD pipelines, merge requests, GitLab Runners, and DevSecOps workflows.
🔧 Harness AI-native delivery platform — CI, CD with canary deployments, feature flags, chaos engineering, and AIDA.
🗄️ Databases
Section titled “🗄️ Databases” 🗃️ SQL Server SQL Server — T-SQL, query optimisation, indexes, stored procedures, and interview questions.
🐘 PostgreSQL Open-source relational database — advanced SQL, JSONB, window functions, and performance tuning.
🐬 MySQL MySQL fundamentals, joins, indexes, stored procedures, replication, and optimisation techniques.
🏛️ Oracle Database Oracle SQL, PL/SQL, partitioning, and interview questions for Oracle-based enterprise systems.
🏛️ Architecture & Quality
Section titled “🏛️ Architecture & Quality” 🏗️ Software Architecture Clean Architecture, SOLID, DDD, event-driven systems, hexagonal architecture, and API design.
🧩 Design Patterns Gang of Four patterns, CQRS, Saga, Circuit Breaker, and examples in C# and TypeScript.
🧪 Testing Unit testing, integration testing, TDD, mocking frameworks, and E2E testing with Playwright.
🔄 Microservices Service decomposition, API gateway, circuit breaker, messaging patterns, and service discovery.
🛠️ Tools & Learning
Section titled “🛠️ Tools & Learning” 🎓 Certifications AZ-900, AZ-204, AI-900, AI-102 Azure certs, GitHub Copilot, and GitLab certification guides.
📚 Glossary Technical abbreviations, programming terms, cloud concepts, architecture vocabulary, and AI/ML definitions.
💡 Prompt Library AI prompt templates for documentation, code generation, Git workflows, DevOps, and productivity.
📓 Jupyter & Colab Jupyter notebooks and Google Colab — kernels, magic commands, widgets, and ML experiment workflows.
🎓 Moodle Open-source LMS — installation, plugins, APIs, course design, and Moodle vs WordPress comparison.
🔐 Website Hosting ZeroSSL on GoDaddy, Azure Static Web Apps custom domains, and hosting configuration guides.
🔤 AI Abbreviations Common AI/ML abbreviations — LLM, RAG, RLHF, MoE, LoRA, and 100+ more defined.
🐍 Python Python setup, basics, AI/ML packages, and integrations with OpenAI, Gemini, and LangChain.
🎯 Interactive Quizzes
Section titled “🎯 Interactive Quizzes” 🧠 Quiz Hub Test your knowledge across Python, JavaScript, TypeScript, C#, Docker, Azure, and GitHub Copilot. 300+ questions with instant feedback and explanations.
🐍 Python Quiz 60 questions across fundamentals, OOP, async, type hints, iterators, testing, and memory management.
⚡ JavaScript Quiz 60 questions covering closures, async/promises, ES6+ features, the DOM, and modern tooling.
🔷 TypeScript Quiz 40 questions on the type system, generics, utility types, and advanced TypeScript patterns.
🔮 C# & .NET Quiz 60 questions on OOP, LINQ, async/await, generics, memory management, and ASP.NET Core.
🐳 Docker & Kubernetes Quiz 40 questions on containers, images, networking, volumes, and Kubernetes fundamentals.
☁️ Azure Cloud Quiz 40 questions aligned with AZ-900 to AZ-204 — compute, storage, networking, identity, and DevOps.
🤖 GitHub Copilot Quiz 60 questions on Copilot features, best practices, enterprise usage, and certification prep.
Use the left sidebar to browse all sections, or use search to jump directly to any topic.