Wiki Index
This wiki is synthesized from the source vault and maintained incrementally as source notes are ingested into durable concept, topic, and entity pages.
Topics
High-level synthesis pages bridging multiple source domains.
| Page | Summary |
|---|---|
| Agile and Team Processes | Agile delivery models, team coordination rituals, and the trade-offs between Scrum, Kanban, and Scrumban |
| AI & Machine Learning | ML algorithms, neural networks, LLMs, MLOps, and AI agent frameworks |
| AWS AI and ML Services | SageMaker, Bedrock, and supporting AWS services for the AIP-C01 certification |
| Blockchain & Web3 | Ethereum, Solidity, Hyperledger Fabric, DeFi, and cryptography fundamentals |
| Business Analysis | Eliciting, documenting, and validating business needs — stakeholders, requirements, and business cases |
| Career Development | Interview preparation, professional growth, salary negotiation, job search |
| Cloud & AWS Infrastructure | Architecture patterns, AWS services, Kubernetes, serverless, and system design |
| Coaching and Manager Development | Coaching, question-asking, listening, and feedback habits for stronger managers |
| Communication and Feedback at Work | Status communication, coaching, upward management, active listening, and feedback practices |
| Cryptocurrency Fundamentals | Consensus, mining, incentives, proof of work, and shared-ledger basics |
| Data Warehousing and Business Intelligence | Kimball lifecycle, OLAP cubes, ETL back room, and BI delivery for analytics |
| Databases | Relational and NoSQL data management — modeling, transactions, indexing, and query optimization |
| Entrepreneurship & SaaS | Business models, side projects, product strategy, and startup execution |
| Ethereum Development | Smart contracts, token standards, DApps, and Ethereum’s account/state model |
| Growth and Distribution for SaaS | Acquisition channels, retention, monetization, and SaaS distribution strategy |
| Knowledge Management and Learning Systems | Note-taking, foundational learning, mental models, and personal knowledge systems |
| Learning Methods & Growth | Study techniques, knowledge management, and skill-building frameworks |
| Meeting and Status Update Practices | Meeting design, facilitation, silent meetings, and better status updates |
| Serverless on AWS | AWS serverless patterns across Lambda, API Gateway, queues, topics, and workflow orchestration |
| Side Projects and Startups | Side-project practice, startup fragility, early users, and small-scale product building |
| Software Architecture & Distributed Systems | Architecture thinking across APIs, service boundaries, microservices, serverless, and distributed trade-offs |
| Software Engineering Practices | Design principles, algorithms, testing habits, and foundational engineering judgment |
| Stakeholder Management and Role Clarity | Responsibility systems, stakeholder alignment, and decision-role clarity |
| Trading & Finance | Portfolio management, quant strategy design, options, risk management, and the underlying math terms |
| Coding Agents and AI Tools | AI coding agents, orchestration frameworks, harnesses, skills systems, and supporting infrastructure |
| Work Culture & Management | Agile process, management transparency, workplace communication, and goal-setting systems |
Concepts
Definitions and explanations of recurring technical and domain terms.
| Page | Summary |
|---|---|
| AI-Native SDLC | Anthropic’s six-stage agentic lifecycle — the committed artifact chain from intent.md to incident record, and where human judgement stays |
| AI Inference Hardware | Serving silicon designed against tokens-per-megawatt — OpenAI’s Jalapeño, the disaggregation trade-off, and the CUDA moat argument |
| Agile | Iterative delivery mindset centered on feedback, adaptation, and collaborative execution |
| AI Engineering Pitfalls | Common product and evaluation mistakes teams make building on foundation models |
| Agentic Cyber Attack | Autonomous LLM agent swarms driving a full intrusion — the July 2026 Hugging Face incident and the defender asymmetry problem |
| Agent Skill Evolution | Agents compiling execution traces into reusable skills — WikiSkill’s three layers, and why the persistent wiki is what makes it compound |
| OWASP Top 10 | Ten most critical web application security risks with prevention strategies |
| API Gateway | Managed API edge that routes, secures, and governs traffic between clients and backend systems |
| Backend for Frontend | Client-specific backend layer tailored to the needs of a particular frontend |
| Big-O Notation | Asymptotic notation for reasoning about time and space growth as input size increases |
| Bonds and Fixed Income | Fixed-income fundamentals — bond classification, the inverse price-yield relationship, and trading risks |
| CAN SLIM | William O’Neil’s seven-factor growth-stock selection system |
| Cloud Security | Cloud-specific attack surfaces — resource hijacking, metadata-service SSRF, and auth-model gaps |
| Context Engineering | Designing what an agent sees — the six shifts, why 80% of Claude Code’s system prompt was deleted, and Opus 5 prompting patterns |
| Constructive Feedback (BIQ) | Behavior, impact, question — why vague feedback damages a team more than negative feedback does |
| DApp | Decentralized application using smart contracts and distributed blockchain infrastructure |
| Data Leakage | Training contamination that makes ML models look accurate but fail in production |
| Database Transactions | ACID guarantees, concurrency control, deadlock handling, and crash recovery |
| Data Quality | Fitness of data — accuracy/validity/consistency/completeness/uniformity and the check-log-correct process |
| Data Science Methodology | IBM’s iterative process from business problem to deployment — ROC/AUC, type I/II errors |
| Data Poisoning and Adversarial ML | Corrupting a model through its training data — Nightshade/Glaze, backdoors, adversarial-example tooling |
| Davis Double Play | Price gains from simultaneous PE and EPS expansion (and its inverse, the double kill) |
| Derivatives Pricing | Pricing derivatives by replication — risk-neutral valuation, Arrow-Debreu state prices, and the FTAP |
| Developer Productivity Measurement | Measuring engineering productivity and happiness via Goals-Signals-Metrics and a normalized Developer Experience Index |
| Dimensional Modeling | Fact/dimension tables, grain, surrogate keys, star/snowflake/constellation schemas, and SCD types |
| Distributed Consensus | Process for agreeing on shared state despite failures, delays, or malicious participants |
| Dow Theory | The origin of technical analysis — three trend degrees, index confirmation, volume, and trend persistence |
| Django | Python web framework — ORM QuerySets, class- vs function-based views, and middleware pipeline |
| Economic Thinking | Economics as the science of choice — opportunity cost, marginal analysis, incentives, comparative advantage |
| Designing to a Latency Budget | Suica’s 200ms budget forcing state onto the card, and the 13.5-degree reader tilt that saved the project |
| Elixir | Functional language on the Erlang VM — atoms, pattern matching, and first-class functions |
| Engineering Leadership (CTO Checklist) | The People/Processes/Technology responsibility surface of a CTO, usable as a subset checklist for any “Head Of” role |
| ERC-721 | Ethereum token standard for unique, non-fungible assets |
| Enshittification and the Search-Ad Tax | How a marketplace monetising its own search results taxes sellers, degrades the product, and gets paid by the customer |
| Event-Driven Architecture | Distributed style where components communicate by emitting and reacting to events |
| Factor Model (Fama-French) | Multi-factor return model — market, size (SMB), and value (HML) factors |
| Gamma Exposure and Dealer Positioning | GEX/Delta exposure from Open Interest — gamma walls, pinning, the decision matrices, and the evidence for and against the dealer-counterparty assumption |
| Gradient Boosting | Ensemble method (XGBoost) that iteratively corrects errors — dominant for tabular data |
| Go | Statically typed, compiled language — simplicity, composition over inheritance, goroutines and channels |
| Growth Marketing | Data-informed experimentation across acquisition, retention, and monetization |
| Game Design | Fun as the brain learning patterns, plus the six level-design patterns of 2D games |
| Hexagonal Architecture | Ports-and-adapters style that isolates core domain logic from infrastructure |
| JSON Web Token (JWT) | Compact self-contained token format for transmitting claims — structure, verification, and attacks |
| JavaScript Design Patterns | Classic and React-era JS patterns, their trade-offs, and which ones Hooks retired |
| Information Arbitrage (Social Arbitrage) | Chris Camillo’s method — trade consumer and cultural trends before they reach the financial statement; enter on information asymmetry, exit on symmetry |
| Implied Volatility | Volatility implied by option price via Black-Scholes — historical vs implied, volatility smile, IV Rank |
| Just Use Postgres | Reaching for PostgreSQL before specialized infrastructure — avoiding resume-driven complexity |
| Kanban | Flow-based work management built around visualization, WIP limits, and delivery flow |
| Kelly Criterion | Growth-optimal position size/leverage — single and multi-strategy forms, half-Kelly |
| Knowledge Management | Practice of capturing, organizing, and revisiting information so it compounds over time |
| Kubernetes | Container orchestration system for deploying and scaling workloads |
| Lean | Lean software development — eliminate waste and optimize the whole via seven principles |
| Loop Engineering | Agent loops that repeat until a stop condition — turn-based, goal, time-based, and proactive, and what you hand off in each |
| Legacy Systems | Living with aging architecture — why replacement is usually wrong, and the three practices that make maintenance sustainable |
| Market Microstructure — OTC and Dark Pools | Lit exchanges vs OTC and dark pools, global turnover by market, and the obligation gap between a dealer and a market maker |
| Machine Learning | Statistical learning methods for pattern recognition and prediction |
| Mean Reversion and Momentum | The two regimes trading exploits — cointegration, Ornstein-Uhlenbeck half-life, CPO, and HFT |
| Measurement Dysfunction | Why “what gets measured gets managed” is a flawed, misattributed maxim that drives target-gaming |
| Microservices | Architectural style decomposing applications into independently deployable services |
| Model Context Protocol (MCP) | Open standard for exposing capabilities to AI agents as typed, model-invoked tools |
| Neural Network | Layered networks of neurons — perceptron, feed-forward, MLP, and CNN architectures |
| NoSQL and Document Databases | Document stores (MongoDB) — embedding, aggregation pipeline, replication, and sharding |
| Observability | Understanding system state from telemetry — MELT, distributed tracing, alerts, and Core Web Vitals |
| Open Interest and Volume | Open Interest vs Volume — the open/close rules that move OI, who contributes it, and the T+1 method for reading large flow |
| OKR | Goal-setting framework that links qualitative objectives to measurable results |
| Options Greeks | Option price sensitivities — Delta, Gamma, Theta, Vega, Rho — for monitoring and hedging |
| Options Strategies | Multi-leg option positions and their management, via the short strangle example |
| OWASP Top 10 for LLM Applications | The most critical security risks specific to LLM-powered applications |
| Phishing and Brand Trust | Being scammed inside a trusted platform’s own chat — why channel legitimacy defeats security knowledge, and the platform-side fixes |
| Poetry | Python dependency management and packaging — virtual environments via pyproject.toml |
| Python Async and the asyncio Event Loop | Cooperative concurrency in Python — coroutines, tasks, futures, and async vs threads vs processes |
| Problem Finding | The staff-engineer skill of choosing what to build — absorb problems, let them accumulate, find the common shape, pressure-test before building |
| Product-Market Fit | State where a product strongly satisfies an important user need |
| Proof of Work | Consensus mechanism requiring expensive but easily verifiable computation |
| Prediction Machines (AI as Cheap Prediction) | AI as radically cheap prediction; decision = prediction + judgment, and what stays scarce |
| Query Optimization | Indexing, covered queries, access plans, and profiling for fast database reads |
| Reading Principles | Naval Ravikant’s nine reading principles — reread the great books, abandon the rest, completion count is vanity |
| Reasoning Effort Control | How low/medium/high reasoning modes are trained and served, and why effort is a scaling axis separate from model size |
| Quantitative Trading | Systematic, automated, backtested trading — sourcing, biases, business structure, risk |
| RACI Model | Responsibility-assignment framework for clarifying ownership, input, and stakeholder visibility |
| React | Component-based UI library — JSX, immutable state, unidirectional data flow, concurrent rendering |
| Regression and Statistical Inference | Sampling, EDA, variance, reliability vs validity, and linear/multiple regression with multicollinearity and suppression |
| RESTful API | Resource-oriented web API style built on HTTP methods, URLs, and status codes |
| Retrieval-Augmented Generation (RAG) | Combining vector search with LLMs for knowledge-grounded generation |
| Resilience | Coping with and bouncing back from adversity via energy, emotional, and cognitive skills — pausing, worry time, reframing |
| SaaS | Software-as-a-Service delivery model and business mechanics |
| SaaS Distribution | Getting a SaaS discovered — directory listings for backlinks and referral traffic |
| Scrum | Sprint-based agile framework built around inspect-and-adapt delivery loops |
| Scrumban | Hybrid model combining Scrum’s coordination structure with Kanban’s pull-based flow |
| Storytelling | Audience before story, show-don’t-tell, and the structural moves of fiction and mystery writing |
| Serverless | Managed, event-driven application style that avoids operating traditional always-on servers |
| Respect Over Diversity | A demographic headcount is not a culture — subjective review criteria as the real failure, with four cases no diversity metric catches |
| Self-Hosted Infrastructure | Hybrid public/private Kubernetes nodes without a load balancer, and the free-tier billing traps that only appear in practice |
| Sharpe Ratio | Risk-adjusted return — excess return per unit of volatility, and its annualization |
| Side Project | Small self-directed project used to learn, build, experiment, or explore business ideas |
| Smart Contracts | Self-executing code deployed on a blockchain |
| SOLID | Object-oriented design principles for reducing coupling and improving maintainability |
| Stakeholder Analysis | Identifying direct/indirect stakeholders and eliciting unbiased requirements |
| System Design | Principles and patterns for designing scalable, reliable distributed systems |
| AI Model Routing | Serving-layer pattern turning single API calls into bounded multi-model collaboration |
| Portfolio Risk Management | Systematic risk control through beta neutrality, volatility targeting, and drawdown management |
| System Thinking | Approach to complexity based on distinctions, systems, relationships, and perspectives |
| Talent Retention | The salary-compression cycle that hollows out a fast-growing engineering org while the business keeps running |
| TypeScript | Typed superset of JavaScript — structural typing and the type-vs-interface distinction |
| UI Design Principles | Refactoring UI for developers — constrain the system in advance and let hierarchy carry the design |
| Trading Discipline and Loss Management | Unknown Market Wizards — the stop loss as entry fee, 10–15% of trades making all the profit, asymmetry over accuracy, method-personality fit, the trading journal |
| Transformer (GPT Architecture) | Decoder-only transformer behind GPT — embeddings, multi-head causal attention, and the LM head |
| Thinking, Fast and Slow | Kahneman’s System 1/2 model, the biases fast thinking produces, and prospect theory |
| Use Case and Swim Lane Diagrams | Process-flow modeling — actor/system interactions and who-does-what-when |
| Widget Factory vs Film Crew | Two opposed software-org cultures — process-driven (Theory X) vs talent-driven (Theory Y) |
| User Stories | Short user-centric requirement statements paired with acceptance criteria |
| Vector Databases and pgvector in Production | pgvector’s production limits — index builds, real-time indexing, pre/post-filtering — and when a dedicated vector engine is simpler |
| Web Rendering and Performance Patterns | Where to render (CSR/SSR/SSG/ISR/islands) and how to load (splitting, hydration, preload, tree shaking) |
Entities
Key people, frameworks, and methodologies.
| Page | Summary |
|---|---|
| PARA Method | Productivity system organizing information by actionability |
| Feynman Technique | Learning method using simplified explanation to identify and fill gaps |
| YC Startup School | Y Combinator’s startup course — ideas, founders, MVP, launching, growth |
| Trading Books | Investment reading list with key takeaways on portfolio construction, discipline, and strategy |
| Cloudflare OS | Cloudflare’s open-sourced platform of per-user sandboxed AI micro-apps behind capability proxies — and its lock-in profile |
| Crucial Conversations | Method for high-stakes, high-emotion conversations — CPR topic selection, silence vs violence, mastering your stories |