Term Dictionary
Key Terms Every Vibe Coder Should Know
The world of vibe coding comes with its own language—AI prompts, component libraries, integration layers, and more. This dictionary breaks down essential terms and concepts to help you navigate tools, workflows, and conversations with confidence. Whether you're new to the space or refining your skills, this glossary is your go-to reference for the terms shaping the future of product building.
A
API
Automation
App Builder
AI Integration
A/B Testing
AI Model
Adaptive Learning
Algorithmic Trading
Artificial Neural Networks
Augmented Reality
AI Chatbot
Actionable Insights
Autonomous Systems
AutoML
AIaaS
Aspect-Based Sentiment Analysis
Anomaly Detection
Authentication
API Integration
AI-Powered Personalization
B
Backend Development
Blockchain Integration
Big Data
Business Intelligence (BI)
Bug Tracking
Behavioral Analytics
Bias Mitigation
Bot Development
Business Process Automation
Browser Extension
Bootstrap
BERT
Backend AI Service
Browser-based AI
B2B AI Solutions
Batch Processing
Behavior-Driven Development
Bug Fixing Automation
Brain-Computer Interface
C
Cloud Computing
Custom AI Solutions
Continuous Integration
Conversational AI
Computer Vision
Component-based Development
Customer Data Platform
Clustering
Cloud-native AI
Content Generation
CI/CD Pipeline
Cross-platform AI Development
Cloud AI Tools
Contextual AI
Collaborative Filtering
Chatbot Framework
Customizable AI
Continuous Deployment
D
Data Science
Deep Learning
Data Engineering
Data Preprocessing
Deployment Pipeline
Decision Trees
Data Visualization
Domain-Specific AI
Distributed AI
Deep Reinforcement Learning
Data Collection
Distributed Computing
Decision Support Systems
Data Annotation
Dynamic Pricing
Distributed Ledger Technology
Deep Neural Networks
Data-driven Development
E
Edge Computing
Event-Driven Architecture
Exploratory Data Analysis
End-to-End Machine Learning
Embeddings
Explainable AI
Elastic Search
Entity Recognition
Ensemble Learning
Ethical AI
Edge AI
Email Filtering
Error Detection
Empathy in AI
Event Stream Processing
Expert Systems
Emotion Recognition
Exponential Smoothing
Embedding Layers
Energy-Efficient AI
F
G
GraphQL
GPU
Generative Adversarial Networks
Ground Truth
Gradient Descent
Generative Model
Graph Neural Networks
Game Theory
Graph Databases
Global Optimization
Geospatial Data
Generative Pretrained Transformer
Generalization
Gantt Chart
GAN Training
Gaussian Mixture Models
Graphical User Interface
Gaussian Blur
Group Decision Support Systems
Geolocation Services
H
Hadoop
Hyperparameter Tuning
Hidden Layers
Hamming Distance
Heuristic Algorithms
Heterogeneous Computing
Hyperparameter Optimization
Heuristic Search
Histogram Equalization
Human-in-the-Loop
Hadoop Distributed File System
Human-Computer Interaction
Heatmap
Hierarchical Clustering
Hamming Code
Hyperparameter Space
Homogeneous Data
Hybrid Model
Holistic AI
I
Integration Testing
Intelligent Automation
Inference
Intelligent Agents
Identity Resolution
Interactive AI
Intellectual Property in AI
Image Recognition
Intent Recognition
Image Segmentation
Incremental Learning
Integration Platforms
Inference Engine
Input-Output Mapping
Interactive Machine Learning
Indexing
Intent-Based Networking
Image Synthesis
Input Normalization
J
Jupyter Notebook
Job Scheduling
JSON
Joint Optimization
JavaScript for AI
Java Virtual Machine
Jitter
Jumpstart Libraries
Jaccard Index
Java AI Libraries
Job Automation
JupyterLab
Jumpstart AI Solutions
JSON-LD
JavaScript Machine Learning Libraries
Job Clustering
Jupyter Notebooks for Data Science
Jupyter Widgets
JSON Schema Validation
K
Kubernetes
K-means Clustering
Knowledge Graph
Kernel Methods
Keras
Knowledge-Based Systems
K-nearest Neighbors (K-NN)
K-fold Cross Validation
Kalman Filter
Keras Tuner
Kernel Trick
KPI
K-fold Cross Validation
Knowledge Representation
Key-Value Pair
Kinematic Data
K-Nearest Neighbor Algorithm
Knowledge Transfer
L
Linear Regression
Logistic Regression
Loss Function
LSTM
Learning Rate
Latent Variable Models
Labeling
Locality Sensitive Hashing
Latent Dirichlet Allocation (LDA)
Log-Linear Model
Long Short-Term Memory Network
Logistic Regression
Low-Level Language
L2 Regularization
Label Propagation
Latent Semantic Analysis (LSA)
Logistic Loss Function
Learning Algorithm
Linear Discriminant Analysis
M
Machine Learning
Model Training
Model Deployment
Meta-Learning
Machine Vision
Model Evaluation
Multimodal AI
Model Tuning
Matrix Factorization
Maximum Likelihood Estimation
Mean Squared Error (MSE)
Markov Chains
Microservices
Model Overfitting
Monte Carlo Simulation
Minibatch Gradient Descent
MLOps
Multithreading
Multivariate Analysis
N
Natural Language Processing (NLP)
Neural Networks
Neural Architecture Search
NVIDIA CUDA
Natural Language Generation (NLG)
Naive Bayes Classifier
Named Entity Recognition (NER)
Neural Style Transfer
Normalization
Non-negative Matrix Factorization
Neural Machine Translation
Noise Reduction
Non-Linear Activation Function
Natural Language Understanding (NLU)
Neural Network Training
NoSQL Databases
Normalized Cross-Entropy Loss
Network Latency
O
OpenAI
Object Detection
Optimization Algorithms
Open Source
Outlier Detection
Online Learning
Optimization Layer
Overfitting Prevention
Out-of-the-box AI
Ordinal Regression
Overload Protection
Optimization Problem
Objective Function
One-Shot Learning
Online Data Processing
Optimization Techniques
Offline Reinforcement Learning
Out-of-the-box AI Models
Over-the-Air (OTA) Updates
P
Python
Predictive Analytics
Preprocessing
Probabilistic Programming
Perceptron
Parallel Computing
Personalization Algorithms
Principal Component Analysis (PCA)
Prompt Engineering
Pre-trained Models
Predictive Modeling
Pattern Recognition
Privacy-Preserving AI
Policy Gradient Methods
Pipelines
Perplexity
Performance Metrics
Policy-Based AI
Prompt Injection
Q
Quantum Computing
Querying
Queueing Theory
Quality Assurance
Q-Learning
Query Optimization
Quantization
Quasi-Newton Methods
Quality Control in AI
Quantum Machine Learning
Query Execution Plan
Quality Metric
Quantitative Analysis
Query Language
Quick AI Prototyping
Quality Dataset
Quantum Circuit
Query Pipeline
Quantitative Machine Learning
R
Reinforcement Learning
Real-Time Processing
Recommendation Systems
Regression Analysis
Robotic Process Automation (RPA)
Recurrent Neural Networks (RNN)
Random Forests
Reinforcement Learning Agent
Robotic AI
Rule-Based Systems
Recursive Neural Networks (RecNN)
Recommender Algorithms
Real-Time AI
Residual Networks (ResNet)
Random Search
Reinforcement Learning with Human Feedback (RLHF)
Risk Assessment AI
Real-Time Analytics
Reinforcement Learning Algorithm
S
Serverless Architecture
Supervised Learning
Scalable AI
Speech Recognition
Sentiment Analysis
Self-Driving Car Technology
Streaming Data
Smart Contracts
Semi-Supervised Learning
Synthetic Data
Scoring Model
Support Vector Machines (SVM)
Spatial AI
Speech-to-Text
Similarity Search
Service-Oriented Architecture (SOA)
Swarm Intelligence
Speech Synthesis
Supervised Machine Learning
T
TensorFlow
Training Data
Tokenization
Transfer Learning
Turing Test
Tensor
Time Series Analysis
Text Classification
Topic Modeling
Transformer Models
Token Embeddings
Test Automation
Temporal Data
Throttling
Training Set
Transfer Learning for AI Products
Tree-Based Models
Temporal Convolutional Networks (TCN)
Traffic Prediction
U
UI Design for AI
Unsupervised Learning
Utility Function
User Authentication
Unified AI Platform
User Feedback Loop
Universal Language Model
Unstructured Data
User-Centric Design in AI
U-Net
Upstream Learning
Universal AI Model
Ultra-Low Latency
Undirected Graphical Models
Utility AI
Uncertainty Modeling
Universal Search Algorithms
User Intent Detection
Utility-Based Agents
V
Voice Recognition
Visual Recognition
Virtual Assistant
Version Control for AI Models
Vectorization
Vision AI
Voice-to-Text Conversion
Value-Based AI
Virtualization for AI
Vector Database
Visual Analytics
Virtual Reality (VR) with AI
Voice User Interface (VUI)
Value Function
Vibe Code
Video AI
Vulnerability Detection
Visual Question Answering (VQA)
W
Web Scraping with AI
Workflow Automation
Web AI Frameworks
Wireless Communication in AI
Weighted Sum Model
Wide-Scale Deployment
Weakly Supervised Learning
Wavelet Transform
World Model
Web Accessibility with AI
Weak AI
Workload Distribution
Weighted Neural Networks
Web-based AI Training
White-box AI Models