Step-by-step tutorials on building voice and chat AI agents using OpenAI Agents SDK, Realtime API, function calling, multi-agent orchestration, and production deployment patterns.
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Learn to build an AI agent that generates safe database migrations from natural language requirements. Covers schema analysis, migration generation, safety checks, rollback planning, and testing strategies.
Build an AI agent that reads your codebase, extracts endpoint definitions and docstrings, and generates complete OpenAPI specs and developer-friendly README documentation automatically.
Learn to build an AI agent that analyzes source code, identifies untested paths, and generates high-quality unit and integration tests with proper assertions, fixtures, and edge case coverage.
Build an AI agent that translates natural language into shell commands, explains what each command does, asks for confirmation before executing dangerous operations, and learns from command history.
Build an AI agent that parses application logs, detects error patterns, identifies anomalies, correlates events across services, and generates root cause analysis reports automatically.
Build an AI agent that generates and maintains technical documentation by analyzing code changes, producing changelogs, tracking version history, and enforcing consistent writing style across your docs.
Learn how to build an AI agent that converts natural language questions into SQL queries, executes them against a database, generates charts from the results, and provides plain-English interpretations of the data.
Build an AI research agent that searches academic papers via the Semantic Scholar API, summarizes key findings, manages citations, and synthesizes insights across multiple sources into a coherent literature review.
