engineering - Concepts
Explore concepts tagged with "engineering"
Total concepts: 10
Concepts
- Agent System Engineering - Discipline of designing, building, and maintaining multi-component AI agent systems including identity, memory, skills, and orchestration.
- Resume-Driven Development - The practice of choosing technologies or architectures based on what looks impressive on a resume rather than what best serves the project.
- Digital Twin - A virtual replica of a physical object, process, or system that is continuously updated with real-world data to mirror its real counterpart for simulation and analysis.
- Harness Engineering - Designing and configuring the AI agent harness (CLI, IDE, runtime) that mediates between the user and the AI model.
- Innovation Tokens - The idea that every organization has a limited budget for adopting novel technologies and should spend it only on things that truly differentiate.
- Boring Technology - The principle of choosing well-understood, proven technologies over novel ones to reduce operational risk and preserve innovation capacity for what truly matters.
- Resilience Engineering - A discipline focused on understanding how systems succeed under varying conditions and building capacity to adapt to unexpected situations.
- Murphy's Law - Anything that can go wrong will go wrong.
- Agentic Engineering - The practice of designing, building, and orchestrating AI agent systems that can autonomously plan, execute, and iterate on complex tasks.
- AI Skill Best Practices - Established patterns and guidelines for writing effective, maintainable, and reliable AI skills that work well in production agent systems.
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