Implementation Guides
Practical examples and step-by-step tutorials for building AI-powered features.
Building a Smart Code Review Assistant
Create an AI-powered code review system that automatically analyzes pull requests, suggests improvements, and maintains coding standards.
Preview
const reviewer = new AIReviewer({ model: "claude-3-opus", context: { repository: "my-project", codebase: await loadCodebase(), standards: await loadCodingStandards() } }); // Stream real-time review comments for await (const comment of reviewer.analyzeChanges(pullRequest)) { console.log(comment); // { type: "suggestion", file: "app/core.ts", line: 42, ... } }
RAG-Powered Technical Documentation
Build an intelligent documentation system that learns from user interactions and automatically stays up to date.
Preview
// Initialize the documentation engine const docs = new SmartDocs({ sources: ["./docs", "./src/**/*.md"], vectorStore: "deepseek", autoUpdate: true }); // Auto-generate summaries and indexes await docs.processAll({ chunkSize: 750, overlapSize: 50, summarize: true }); // Query with context awareness const results = await docs.search(` How does our authentication system handle OAuth2 refresh tokens? `);
Quest-Driven Project Planning
Implement an AI project manager that breaks down complex projects into manageable quests with clear objectives.
Preview
const questMaster = new QuestMaster({ project: "New Feature Launch", objectives: [ "Implement user authentication", "Design database schema", "Create API endpoints" ] }); // Generate quest chain with subtasks const questChain = await questMaster.createQuestChain({ maxDepth: 3, minQuestsPerLevel: 3, maxQuestsPerLevel: 7 }); // Track progress and adapt type ProgressUpdate = { title: string; unlockedQuests: string[]; }; questChain.on("progress", (update: ProgressUpdate) => { console.log(`Quest "${update.title}" completed!`); console.log(`Unlocked: ${update.unlockedQuests.join(", ")}`); });