Definition: Imbalanced class distributions in datasets, challenging for standard accuracy metrics. Understanding Class Imbalance in AI-Assisted Development In traditional software development, working with class imbalance required deep expertise in imbalanced learning and model evaluation. Developers spent hours reading documentation, debugging edge cases, and implementing boilerplate code. Vibe coding transforms this workflow entirely. With tools like…
Definition: The tendency of AI chatbots to confidently present false information as factual. Understanding Chatbot Hallucination in AI-Assisted Development In traditional software development, working with chatbot hallucination required deep expertise in conversational AI and user interaction systems. Developers spent hours reading documentation, debugging edge cases, and implementing boilerplate code. Vibe coding transforms this workflow entirely….
Definition: A computer program conducting conversations via auditory or textual methods, simulating human dialogue. Understanding Chatbot in AI-Assisted Development In traditional software development, working with chatbot required deep expertise in conversational AI and user interaction systems. Developers spent hours reading documentation, debugging edge cases, and implementing boilerplate code. Vibe coding transforms this workflow entirely. With…
Definition: Language modelling predicting next tokens based on preceding context, used in models like GPT. Understanding Causal Language Modelling CLM in AI-Assisted Development In traditional software development, working with causal language modeling clm required deep expertise in language modeling and transformer architectures. Developers spent hours reading documentation, debugging edge cases, and implementing boilerplate code. Vibe…
Definition: A prompt engineering technique encouraging LLMs to explain reasoning step-by-step, improving accuracy for complex tasks. Understanding Chain of Thought CoT Prompting in AI-Assisted Development In traditional software development, working with chain of thought cot prompting required deep expertise in prompt engineering and LLM optimization. Developers spent hours reading documentation, debugging edge cases, and implementing…
Definition: Solving new problems based on solutions of similar past problems, leveraging case similarity. Understanding Case Based Reasoning CBR in AI-Assisted Development In traditional software development, working with case based reasoning cbr required deep expertise in knowledge representation and AI reasoning. Developers spent hours reading documentation, debugging edge cases, and implementing boilerplate code. Vibe coding…
Definition: Combining and harmonizing data from multiple sources into a unified format for analysis and operations. Understanding Data Integration in AI-Assisted Development In traditional software development, working with data integration often meant stitching together docs, ad-hoc scripts, and brittle rules. Teams spent hours cleaning up edge cases, debugging pipeline failures, and re-running jobs when requirements…
Definition: A self-reinforcing feedback loop where data improves models/products, producing better usage and more valuable data over time. Understanding Data Flywheel in AI-Assisted Development In traditional software development, working with data flywheel often meant stitching together docs, ad-hoc scripts, and brittle rules. Teams spent hours cleaning up edge cases, debugging pipeline failures, and re-running jobs…
Definition: The level of detail represented in a dataset (for example, hourly vs daily data, line-item vs order-level). Understanding Data Granularity in AI-Assisted Development In traditional software development, working with data granularity often meant stitching together docs, ad-hoc scripts, and brittle rules. Teams spent hours cleaning up edge cases, debugging pipeline failures, and re-running jobs…
Definition: Interdisciplinary field extracting insights from structured and unstructured data using scientific methods and algorithms. Understanding Data Science in AI-Assisted Development In traditional software development, working with data science required deep expertise in analytics, modeling, and insights extraction. Developers spent hours reading documentation, debugging edge cases, and implementing boilerplate code. Vibe coding transforms this workflow…