Understand before you open

Reusable starting structures for decisions, investigations, workflows, and discovery.

• {{date}}{{date}} Focus Most important outcome: First concrete action: Tasks Notes and observations Learning Prediction: Result: Lesson: Shutdown Finished: Blocked: Next action for tomorrow: Knowledg→
• ADR — Decision titleADR — Decision title Status Proposed Context What forces and constraints make a decision necessary? Decision drivers Options considered 1. Option: Benefits: Costs/risks: Decision We will... →
• Agentic Workflow Canvas — {{title}}Agentic Workflow Canvas — {{title}} Outcome User: Goal: Deliverable: Non goals: Success metrics: Unacceptable failures: Baseline Simplest direct approach: Current quality / latency / cost: W→
• Bug — Short symptomBug — Short symptom Impact Reproduction 1. Expected: Actual: Evidence Exact error: Environment/version: First known occurrence: Hypotheses Hypothesis Evidence for Evidence against Next test →
• ConceptConcept In one sentence Problem it solves Mental model How it works Example Tradeoffs and alternatives Failure modes How to verify Related Broader: Narrower: Similar/contrasting: Sources Kno→
• Web Product DiscoveryWeb Product Discovery Use this before building or redesigning any website or web application. The AI assistant must ask the owner these questions before deciding navigation, visual language,→

Prompts, rules, context, and delivery methods for reliable AI-assisted development.

• Agent RulesAgent Rules The canonical repository level instructions now live in AGENTS. This note remains the concise Obsidian view; keep it aligned with that root guide. Reusable instructions for an AI→
• AI Coding AssistantAI Coding Assistant The main operating system for this vault is SPEC → MAP → BUILD → PROVE → LEARN 02 AI Assistant/Spec Map Build Prove Learn. The developer's role is not merely code writer;→
• Context PackContext Pack Maintain this page as the concise profile you can paste into a new AI coding session. About me Preferred name: Current skill level: Languages and frameworks: Operating system an→
• Definition of DoneDefinition of Done Acceptance criteria are satisfied and non goals remain untouched Behavior is verified with relevant automated or manual checks Error, empty, loading, boundary, and permiss→
• Prompt LibraryPrompt Library Replace bracketed fields. Good prompts describe outcomes and evidence; they do not micromanage every keystroke. For multi step feature work, use the staged prompts in 02 AI As→
• Saturngod-Inspired Repository GuideSaturngod Inspired Repository Guide A reusable pattern for a project level AGENTS.md . Adapt it to facts in the repository and delete irrelevant sections. Precision matters more than length.→
• Spec Map Build Prove LearnSpec Map Build Prove Learn This is the default workflow for substantial AI assisted coding. It replaces a fragile prompt → code → bug → more prompts spiral with bounded work and evidence. 1.→

Repeatable engineering procedures to apply during debugging, delivery, testing, and review.

• Agentic AI Development LoopAgentic AI Development Loop Use this playbook to turn a candidate task into a reliable workflow. 1. Frame the outcome Name the user, goal, inputs, deliverable, and non goals. Define observab→
• Code ReviewCode Review Review behavior before style. Passes 1. Intent: does the change match the stated problem and scope? 2. Correctness: invariants, boundaries, state transitions, error paths, concur→
• DebuggingDebugging 1. State the symptom precisely: expected, actual, environment, frequency, impact. 2. Reproduce with the smallest deterministic case. 3. Find the boundary where correct state become→
• Performance InvestigationPerformance Investigation 1. Define the user visible metric and target: latency percentile, throughput, memory, cost, or startup time. 2. Measure a representative baseline. 3. Profile to loc→
• Security ReviewSecurity Review Trace the trust boundaries Inputs: validate type, size, format, origin, and authorization. Identity: authenticate reliably; authorize every protected action and object. Data:→
• System DesignSystem Design Sequence 1. Define users, core journeys, scale assumptions, and non goals. 2. Rank quality attributes: availability, consistency, latency, durability, privacy, cost. 3. Model d→
• Testing StrategyTesting Strategy Tests provide confidence about behavior at an acceptable maintenance cost. Choose the smallest test that proves the risk Unit: pure logic, boundaries, transformations Integr→

Evergreen engineering concepts distilled from sources, projects, and experience.

• Agentic AI Real-World ApplicationsAgentic AI Real World Applications These projects apply the course patterns in increasing order of autonomy. 1. Evidence backed technical researcher Outcome: answer a technical question with→
• API DesignAPI Design An API is a contract between independently changing systems. Design around Resources/actions and stable domain language Explicit schemas and validation Authentication versus per r→
• Architecture PrinciplesArchitecture Principles Make boundaries follow business capabilities and rates of change. Keep dependencies pointing toward stable policy, away from volatile details. Hide decisions likely t→
• DatabasesDatabases Choose a data model from access patterns, invariants, consistency needs, and operational constraints—not fashion. Core ideas Schema and constraints make invalid states harder to re→
• Design Patterns Selection GuideDesign Patterns Selection Guide Design patterns are named arrangements of responsibilities and communication. They are useful when they directly address a recurring change or coordination pr→
• Git and Version ControlGit and Version Control Git stores a graph of snapshots. Branches are movable names pointing to commits; merges and rebases create different histories from the same changes. Practical rules →
• Web FundamentalsWeb Fundamentals Request path DNS resolves a host; a transport connection is established; TLS authenticates and encrypts; HTTP carries requests and responses; browsers parse resources, build→

Course syntheses, books, PDFs, repositories, and evidence behind durable notes.

• Agentic Fullstack Development WebinarAgentic Fullstack Development Webinar Source Local PDF: /Users/kaungkhantko/Downloads/agentic fullstack development webinar.pptx 1 .pdf Author/presenter: Kyaw Ko Ko Tun, Let's Tech Club Form→
• DeepLearning.AI Agentic AI CourseDeepLearning.AI Agentic AI Course These are synthesis notes for the five module Agentic AI course. They capture concepts and applications in original language rather than reproducing transcr→
• Ei Maung PDF Knowledge BaseEi Maung PDF Knowledge Base This page records the 16 publicly linked programming PDFs processed from Ei Maung's official library https://eimaung.com . The books total roughly 4,460 pages. Ea→
• Myanmar Programming Resource LibraryMyanmar Programming Resource Library This index points to the authors' official pages and public downloads. Use 01 Maps/Full Stack Developer Learning Path for study order. Notes in this vaul→
• Saturngod PDF Knowledge BaseSaturngod PDF Knowledge Base Seven PDFs were discovered through Saturngod's official book download library https://books.saturngod.net . Together they cover about 1,462 pages. 08 Sources/Sat→
• Saturngod Repository Engineering StudySaturngod Repository Engineering Study Evidence backed synthesis of Saturngod's public repositories. Authored repositories were distinguished from forks, and recent production shaped project→

Navigation and mental models showing how concepts, learning paths, and workflows relate.

• AI Engineering MapAI Engineering Map Core ideas Tokens and context windows Embeddings and semantic search Sampling, temperature, and structured output Tool calling and agent loops Retrieval augmented generati→
• Career and Learning MapCareer and Learning Map Learning loop 1. Pick a real problem just beyond current ability. 2. Predict before searching. 3. Build the smallest working version. 4. Explain the mechanism in your→
• Coding Knowledge MapCoding Knowledge Map Use this as a curriculum and navigation page. Create a focused note when a subject becomes relevant; do not study everything in order. Foundations Programming models: im→
• Full-Stack Developer Learning PathFull Stack Developer Learning Path This path combines the Burmese language libraries of Ei Maung https://eimaung.com and Saturngod https://www.saturngod.net with the evidence driven agent wo→
• Software Delivery MapSoftware Delivery Map Idea → requirements → design → implementation → review → test → release → observe → learn. Artifacts that reduce confusion Problem statement and non goals Acceptance cr→
• Vault Category GuideVault Category Guide This is the explanatory index of the second brain. Unlike a link only graph, it describes what every category is for and what each note contributes. Use 01 Maps/Vault Kn→
• Vault Knowledge GraphVault Knowledge Graph This map keeps every durable note reachable and shows how the vault moves from sources to concepts, practice, projects, and reflection. Individual notes also contain co→

Course syntheses, books, PDFs, repositories, and evidence behind durable notes.

• AlgorithmsAlgorithms Official PDF https://books.saturngod.net/downloads/algorithm/algorithm.pdf Actual coverage Algorithms; Big O time/space; RAM/arrays; hash tables; two pointers; sliding windows; st→
• Database BasicDatabase Basic Official PDF https://books.saturngod.net/downloads/dbbasic/dbbasic.pdf Actual coverage Database concepts and MySQL setup; schemas/tables/data types; CRUD and filtering; keys a→
• Design PatternsDesign Patterns Official PDF https://books.saturngod.net/downloads/designpatterns/designpatterns.pdf Current web edition: designpatterns.saturngod.net https://designpatterns.saturngod.net Sc→
• Developer InternDeveloper Intern Official PDF https://books.saturngod.net/downloads/devint/devint.pdf Actual coverage Career roadmap; résumé; interview and STAR method; Markdown; Git; meetings; SDLC; engine→
• HTML5HTML5 Official PDF https://books.saturngod.net/downloads/html5/html5.pdf Scope Creating/editing pages; document structure and metadata; text, links, images, lists, tables, forms, and media; →
• Programming BasicProgramming Basic Official PDF https://books.saturngod.net/downloads/pb/programmingbasic.pdf Actual coverage What programming is; Python/programming basics; OOP; stack; queue; lists and dict→
• Software EngineeringSoftware Engineering Official PDF https://books.saturngod.net/downloads/se/se.pdf Actual coverage Introduction; process; Agile development; requirements engineering; design and architecture;→

Course syntheses, books, PDFs, repositories, and evidence behind durable notes.

• API On PointAPI On Point Official source https://eimaung.com/api/ Actual coverage What an API is; HTTP requests; HTTP responses; RESTful design; response structure; MongoDB; Node.js; Express; CORS; auth→
• Bitcoin On PointBitcoin On Point Official source https://eimaung.com/bitcoin/ Actual coverage Bitcoin's origin; cryptography overview; transaction/network operation; mining and exchanges; notable events and→
• Bootstrap 5 On PointBootstrap 5 On Point Official source https://eimaung.com/bootstrap/ Actual coverage HTML; CSS; Bootstrap introduction; CSS components; JavaScript components; layouts; utility classes; icons;→
• JavaScript On PointJavaScript On Point Official source https://eimaung.com/jsbook/ Actual coverage Variables; data types; expressions/statements/operators; procedures/functions; arrays/objects; control flow/lo→
• Laravel 8 On PointLaravel 8 On Point Official source https://eimaung.com/laravel/ Actual coverage PHP OOP; namespaces; project setup; routing; MVC; controllers; views; migrations/models; authentication; maste→
• n8nn8n Official source https://eimaung.com/n8n/ Actual coverage Docker and NPM installation; JSON; APIs; first workflow; weather chat; invoice/reminder workflow; support ticket workflow; AI age→
• OpenClawOpenClaw Official source https://eimaung.com/openclaw/ Actual coverage Foundational setup; Ubuntu; Linux filesystem; Linux administration; Linux agent tools; OpenClaw preview/setup/configura→
• PHP 8 On PointPHP 8 On Point Official source https://eimaung.com/php/ Actual coverage World Wide Web; development environment; syntax/types; strings/arrays; operators/control structures; functions; OOP; d→
• Professional Web Developer 2023Professional Web Developer 2023 Official source https://eimaung.com/pwd2023/ Actual coverage Seventy five chapters across HTML/CSS/Bootstrap; JavaScript language, async, modules, DOM, and de→
• Professional Web Developer Fourth EditionProfessional Web Developer Fourth Edition Official PDF https://www.eimaung.com/professional web developer/Professional Web Developer 4th Edition by Ei Maung.pdf Actual coverage Web standards→
• Programming for KidsProgramming for Kids Official source https://eimaung.com/kids/ Actual coverage A bilingual story led sequence covering numbers and representation, hexadecimal, paths and instructions, logic,→
• React On PointReact On Point Official source https://eimaung.com/react/ Actual coverage ES6; React basics; data flow; composition/code splitting; component styles; functional components; Context; Redux; r→
• Rockstar DeveloperRockstar Developer Official source https://eimaung.com/rockstar developer/ Actual coverage Development process management; TDD; SOLID; service oriented architecture; version control; issue t→
• Rockstar Developer 2025Rockstar Developer 2025 Official source https://eimaung.com/rsd2025/ Actual coverage Node/NPM; React with Vite; components/props/state; forms; Context; MUI; hooks; routing; promises/async; S→
• Ubuntu Linux for YouUbuntu Linux for You Official source https://eimaung.com/ubuntu for you/ Actual coverage Linux background; Ubuntu installation and dual boot; desktop environment; directory structure; softwa→
• Vibe CodingVibe Coding Official source https://eimaung.com/vibe coding/ Actual coverage Computer/software operation; how AI works; coding models and agents; creating apps through conversational coding;→

System entry points and specifications that orient the whole second brain.

• Coding Second BrainCoding Second Brain !tip Start here Capture quickly in 00 Inbox/Inbox, choose a workflow from 02 AI Assistant/AI Coding Assistant, and turn durable lessons into notes linked from 01 Maps/Cod→
• Design System and Visual DirectionDesign System and Visual Direction This is the durable visual specification for humans and AI coding assistants. It synthesizes the two supplied Figma files while preserving their two distin→
• SecBrain — Full Product and Coding PromptSecBrain — Full Product and Coding Prompt Repository agents must also read AGENTS, which consolidates the canonical prompts, responsive/mobile requirements, and engineering principles derive→
• SecBrain Repository and Vault GuideSecBrain Repository and Vault Guide This is the canonical instruction file for AI coding assistants working in this vault or its connected website. Read it before editing. Detailed knowledge→

Outcome-oriented workspaces connecting goals, actions, decisions, evidence, and lessons.

• Example ProjectExample Project Outcome What useful change exists when this is finished? Why Who has the problem, and why solve it now? Scope In Out Acceptance criteria Next action Decisions 05 Templates/Ar→
• Projects DashboardProjects Dashboard Active Project Outcome Next action Status 03 Projects/Example Project Replace with a real outcome Write the problem statement status/seed Someday / maybe Completed Project→

Temporary ideas and questions waiting to become durable knowledge or project work.

• InboxInbox Capture first; organize later. Each item should eventually become a task, project note, durable concept, reference, or deletion. Unprocessed Triage questions 1. Is there an action? Mov→

Learning records capturing what changed, why it matters, and where the insight belongs.

• Learning LogLearning Log Entries 2026 08 12 Built the foundation of this coding second brain. Next: personalize 02 AI Assistant/Context Pack and replace 03 Projects/Example Project with a real project. →

Course syntheses, books, PDFs, repositories, and evidence behind durable notes.

• Module 1 — Introduction to Agentic WorkflowsModule 1 — Introduction to Agentic Workflows Lesson notes What agentic AI means A direct LLM call maps one input to one output. An agentic workflow breaks an outcome into steps and allows th→
• Module 2 — Reflection Design PatternModule 2 — Reflection Design Pattern Lesson notes Reflection adds a feedback loop to generation. A generator produces an artifact; a critic checks it against explicit criteria or external ev→
• Module 3 — Tool UseModule 3 — Tool Use Lesson notes A tool is a controlled interface through which a model can observe the world or request an action. The model does not execute a function by wishing; it emits→
• Module 4 — Evaluations and OptimizationModule 4 — Evaluations and Optimization Lesson notes Evals turn agent development from intuition into engineering. A useful evaluation system contains representative cases, recorded traces, →
• Module 5 — Planning and Multi-Agent SystemsModule 5 — Planning and Multi Agent Systems Lesson notes Planning lets a model construct a task specific sequence instead of following a fixed pipeline. A plan should be an inspectable artif→