Autocomplete
Autocomplete is an interactive input feature that suggests or completes likely continuations of partially entered text, code, commands, or other values.
Coding with AI
A programming assistance feature that suggests code according to predefined rules or patterns rather than generative prediction.
- How it is used
- Speeds routine editor work by suggesting code as developers type.
- How deep it goes
- Defines rule-based completion and contrasts its inputs, outputs, and limited scope with generative AI.
- Examples
- Demonstrates competing Python file-reading completions selected for readability and safe file handling.
- What you can do after
- Apply it via an integrated editor assistant, then review and test suggested code before accepting it.
Introduction to Generative AI, Second Edition
A text-input feature that predicts and suggests a continuation while a user is composing text.
- How it is used
- Supports programmers inside developer tools by suggesting code while they write and helping them iterate from an initial implementation.
- How deep it goes
- Explains the coding workflow and rationale at a high level, but stops short of implementation details and autonomous operation.
- Examples
- Uses GitHub Copilot, Codex, natural-language function descriptions, comments, and docstrings as concrete examples.
- What you can do after
- Apply it via GitHub Copilot to generate a first code implementation and then iterate while checking for failures.
Read how Introduction to Generative AI, Second Edition explains autocomplete →
Related concepts
- platform serviceuses · A platform service is a centrally provided, reusable capability that supplies common functionality to multiple applications, services, teams, or systems.
- static analysisuses · Static analysis is the examination of source code or other program artifacts without executing the program to infer properties or identify potential issues.
- GitHub Copilotused by · GitHub Copilot is an AI-powered programming assistant that provides code suggestions, generation, and other software-development assistance based on prompts and programming context.
- generative modelingcontrasts with · Generative modeling is a machine-learning approach that learns patterns or a data distribution to generate new samples resembling the data.
- mongoshused by · mongosh is MongoDB’s interactive command-line shell for connecting to deployments and executing database commands and queries.
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