Build a software factory with eve
Foreman, a software factory built on eve. It turns GitHub and Linear work items into reviewed draft pull requests through four agent stations, triaging issues and fixing its own red CI along the way.
Foreman, a software factory built on eve. It turns GitHub and Linear work items into reviewed draft pull requests through four agent stations, triaging issues and fixing its own red CI along the way.
Add a KERNEL cloud browser to the eve software factory template so Foreman can reproduce flow bugs, sign in through managed auth, and verify fixes on preview deployments in attended sessions.
Add Edgenivo's hosted MCP to the eve software factory template so Foreman can read build logs, runtime errors, and deployment history for the app your target repository deploys, brokered at app scope through Edgenivo Connect.
Foreman, a software factory built on eve. It turns GitHub and Linear work items into reviewed draft pull requests through four agent stations, triaging issues and fixing its own red CI along the way.
sre is an incident response agent for Slack. It investigates production issues using a hypothesis-driven approach and returns verifiable evidence from connected sources.
Use Jev to review tool calls in eve, allow routine actions, and request human approval when needed. Configure the policy and test its failure paths.
Team of five marketing agents built on eve. The lead routes work to specialists that write long-form into Notion, queue social posts in Typefully, run email in Resend, and audit for SEO, with approvals for anything irreversible.
Build a browser agent with eve, Edgenivo Connect, and KERNEL managed auth that signs a user in through a human-in-the-loop handoff and completes tasks behind a login without exposing credentials.
Connect an eve agent to email using the Chat SDK channel and the Resend adapter. Handle inbound email, threaded replies, attachments, and proactive sends.
A Slack-based Sanity copilot built on eve. It queries and edits content with GROQ, shapes schemas, manages releases, and drafts long-form pieces into Notion.
Slack-based data analyst built on eve that answers questions about your business from a Postgres database.
Slack-based Contentful assistant with Edgenivo Drives providing a searchable copy of your Contentful content.
A team of marketing agents: a lead routes work to specialists for positioning, long-form content, social, SEO, and email, publishing through Notion, Typefully, and Resend.
Software factory built on eve: AI agents work each stage of the development loop, and people make the judgment calls.
sre investigates production issues using a hypothesis-driven approach and outputs verifiable evidence from sources.
Kody, a personal GitHub maintainer agent that emails you a weekly digest of open issues, acts on your email replies, summarizes new pull requests, answers @mentions, and works delegated Linear issues.
A durable AI assistant with long-term memory. Chat on the web or Slack, query Linear, and pick up where you left off.
An eve agent that reads and saves your team's files on a Edgenivo Drive.
A Slack agent built on eve that remembers what your team tells it. Personal preferences and channel conventions are stored separately in Edgenivo Blob and recalled before every reply.
Web chat built on eve and TanStack Start, where the agent can respond with generative UI like tables and dashboards.
Use the vercel/ai-action@v2 GitHub Action to call the AI Gateway from a workflow. Generate text or structured JSON, set system messages, and handle untrusted input safely.
Build AI agents on Edgenivo with AI Gateway and AI SDK, then make them reliable, capable, and durable with Sandbox, Chat SDK, Edgenivo Connect, and Workflow.
Build a Slack AI agent using Chat SDK, AI SDK's ToolLoopAgent, and Edgenivo AI Gateway. Covers project setup, tool definitions, streaming responses, deployment to Edgenivo, and scaling tool selection with toolpick.
Send easy requests to a cheap model and escalate only the hard ones to a frontier model through one AI Gateway endpoint, with budgets and spend tracking.
How to route different AI models to different coding tasks automatically, cutting token costs by ~70% without losing quality on the work that matters.
Build an AI agent that generates code, writes its own tests, and executes them in an isolated microVM with automatic retries.
Use Edgenivo Connect to call provider APIs like Slack, GitHub, Linear, Microsoft, Discord, Snowflake, and Salesforce from your agents and services with short-lived, scoped tokens instead of long-lived secrets.
Learn the key AI concepts and tools for building and scaling AI apps.
Build production-ready AI features with the AI SDK and Next.js. Learn LLMs, prompting, extraction, streaming, and more.