💻 Software Engineering

Amdahl's Law sets the speed limit for parallelism. Learn why doubling cores doesn't double speed, how the serial fraction dominates, and when to optimize differently.

Glossary of terms for software fundamentals (maintainability, design, naming, and related topics).

Why software maintainability matters: structural complexity, understandability, technical debt, coupling, and code smells. Learn the principles that keep code changeable over time.

Fitness review skills turn fundamentals into repeatable, scored code reviews across architecture, security, reliability, and more.

Just-in-Time Catching Test Generation creates tests on-the-fly with large language models to catch bugs before they land. Learn why it exists and how it works.

The next big frontiers of software development are already taking shape: augmented workflow optimization, F1-level recovery and quality control systems, and bot spam management.

Logical fallacies like sunk cost, false dichotomy, and confirmation bias derail software projects. Learn to recognize and avoid faulty reasoning traps.

Lima explained: how it runs Linux VMs on your Mac, powers Colima and Rancher Desktop, and replaces Docker Desktop without the licensing bill.

Agent Skills explained: why they exist, how progressive disclosure loads them on demand, and how they relate to MCP, fine-tuning, and agent plugins.

A curated directory of software engineering blogs from leading technology companies. Find engineering blogs from Meta, Google, Netflix, AWS, and more. Includes RSS feeds and covers system design, API development, and DevOps practices.

Agent2Agent Protocol (A2A) explained: why it exists, how it enables AI agents to communicate across vendors and platforms, and how it solves interoperability challenges.

API design fundamentals for contracts, compatibility, and reliability, so integrations stay predictable as systems evolve.

Model Context Protocol (MCP) explained: why it exists, how it works conceptually, and how it solves AI-LLM integration challenges through standardized protocols.

How software teams impact operational excellence. A developer's guide to understanding operations from a COO's perspective.

Understand why software usability matters: how learnability, efficiency, memorability, error prevention, and satisfaction create software that users can actually use effectively.

Understand why naming matters in software: how clear names improve readability, reduce bugs, and make code easier to understand, maintain, and modify over time.

Understand why software maintainability matters: how code quality, technical debt, refactoring, and design patterns create systems that are easier to modify, debug, and extend over time.

Software debugging fundamentals for developers: mental models, evidence-driven workflows, observability signals, and practical techniques for finding root causes fast.

Software caching explained: why caches speed up systems, where they fail, and how to think about freshness, consistency, and cache misses.

Agile software development fundamentals: iterative development, collaboration, and responding to change. Build software that delivers value continuously.

Software availability explained: uptime metrics, redundancy patterns, health checks, and graceful degradation for keeping systems accessible.

Release engineering and CI/CD fundamentals: how builds, tests, and deploys become automated, and which deployment strategies cut release risk.

Learn capacity planning fundamentals: how to predict resource needs, avoid over-provisioning, and scale systems efficiently. Essential guide for engineers and operations teams.

Software scalability fundamentals: how systems handle increased load, why scalability matters, and when to scale horizontally vs vertically.