Construimos software que importa

// llm-integration.ts
import { Claude } from "@anthropic-ai/sdk";

const claude = new Claude({
  model: "claude-opus-4",
});

const response = await claude.chat({
  system: "You are a senior engineer.",
  messages: userThread,
  tools: [codeReview, deployCheck],
});

// Model integrated. Workflow enhanced.

// rag-pipeline.ts
const pipeline = new RAGPipeline({
  vectorStore: pinecone,
  embeddings: openai,
  chunks: { size: 512, overlap: 50 },
});

await pipeline.ingest("./docs/**/*.md");

const answer = await pipeline.query(
  "How do we handle auth?"
);
// Source: docs/auth/oauth-flow.md:42

// agent-workflow.ts
const agent = new CapibaraAgent({
  model: "claude-opus-4",
  tools: [searchDocs, queryDB, deploy],
  memory: "persistent",
});

await agent.run("Ship the feature");
// Agent: Tests passed. PR created.
// Agent: Deployed to staging.
// Agent: Monitoring for 5 min... OK.
// Done. Zero human intervention.

// ai-ops.ts
const monitor = new AIOps({
  metrics: [latency, errorRate, cpu],
  alerts: slack,
  autoScale: true,
});

monitor.on("anomaly", async (event) => {
  const diagnosis = await ai.diagnose(event);
  await diagnosis.remediate();
  await slack.notify(diagnosis.summary);
});
// 3am incident → fixed before you woke up.