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Encore Cloud automates infrastructure and DevOps, letting you ship 3x faster with 90% less DevOps work, using your own cloud on AWS & GCP. โ Get enterprise-grade infrastructure without the complexity and DevOps overhead โ Enable safe AI-assisted development with built-in guardrails โ Gain full visibility across your stack with built-in Service Catalog, API documentation, and tracing
Key Features:
Production-Ready AI Assisted Development: Encore's parser validates all generated code to ensure it correctly implements service and API definitions, infrastructure integrations, etc.
No boilerplate: Encore drastically reduces the boilerplate needed to set up a production ready backend application. Define backend services, API endpoints, and call APIs with a single line of Go code.
Distributed Tracing: Encore instruments your application for excellent observability. Automatically captures information about API calls, goroutines, HTTP requests, database queries, and more. Automatically works for local development as well as in production.
Infrastructure Automation: Encore automatically provisions and manages your cloud infrastructure. Works with all the major cloud providers and you deploy to your own account (AWS/Azure/GCP).
Simple Secrets: Easily store and securely use secrets and API keys. Never worry about how to store and get access to secret values again.
Service Catalog and Automatic API Documentation: Encore parses your source code to understand the schemas for all your APIs and automatically generate interactive API Documentation.
Most engineering teams run AI coding agents on individual laptops. Close the lid, lose the session. When a new developer joins, they spend hours recreating the same setup.
CloudCLI gives your team shared cloud environments where AI agents run 24/7. Every developer gets their own isolated container, but the team shares MCP servers, context files, and configurations across all projects. Onboarding takes minutes.
Sessions can be started through a full REST API, so workflows in Linear, Jira, or n8n can trigger background coding agents programmatically. A ticket gets filed, an agent starts coding, the developer reviews the PR in the morning.
The web UI and mobile interface include a file explorer, git explorer, and full shell access. Review PRs on your iPad, make fixes from your phone, then pick up in VS Code over SSH.
Unlike GitHub Codespaces, CloudCLI is purpose-built for agentic development. Claude Code, Cursor CLI, Codex, and Gemini CLI come pre-installed. Sessions survive laptop closure. Teams bring their own API keys with no vendor lock-in.
Built on an open-source core (AGPL-3, 9,000+ GitHub stars). Self-host for data sovereignty or use the managed service from โฌ7/month.
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CloudCLI's answer:
CloudCLI is built with a modern JavaScript/TypeScript stack:
The entire codebase is open source under AGPL-3 and available on GitHub.
CloudCLI's answer:
Compared to tools like GitHub Codespaces, CloudCLI is purpose-built for agentic development rather than traditional coding. Here's what sets it apart:
CloudCLI's answer:
CloudCLI is one of the only cloud development environments built specifically for AI coding agents. Where Codespaces and Gitpod give you a cloud editor, CloudCLI gives your agents a persistent home that stays alive 24/7. What makes it particularly valuable for teams: shared MCP servers and environment configs mean every developer starts from the same baseline. A full REST API means sessions can be triggered from automation tools, not just opened manually. Background agents can run overnight and produce PRs for review in the morning. And the entire platform is open source (AGPL-3) so teams can self-host on their own infrastructure.
CloudCLI's answer:
CloudCLI is built for engineering teams that use AI coding agents as part of their daily workflow. This includes teams adopting agentic development practices with tools like Claude Code, Cursor CLI, or Codex who need shared environments where MCP servers, context files, and configurations stay consistent across every developer. It also serves engineering managers looking to integrate AI agents into existing workflows through API-driven automation with tools like Linear, Jira, and n8n. Solo developers and open-source contributors who want persistent remote access from any device are also a core audience, along with organizations that need to self-host for data sovereignty or regulatory compliance.
CloudCLI's answer:
CloudCLI started as an open-source project to solve a problem every developer using AI coding agents hits: your agent ties up your terminal and stops working when your laptop sleeps. We built a cloud-native environment where agents run persistently, paired with an open-source web UI so anyone could manage sessions from a browser or phone. As teams started adopting it, the focus shifted to shared environments, where team-wide MCP servers, configurations, and context files could be maintained in one place instead of duplicated across every developer's machine. The project grew to 9,000+ GitHub stars organically with no marketing. Today CloudCLI offers both a free self-hosted option and a managed cloud service starting at โฌ7/month.
Based on our record, Encore.dev seems to be more popular. It has been mentiond 86 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
This is close to what we're doing with [Encore](https://encore.cloud). The framework parses your application code through static analysis at compile time to build a full graph of services, APIs, databases, queues, cron jobs, and their dependencies. It uses that graph to provision infrastructure, generate architecture diagrams, API docs, and wire up observability automatically. The interesting side effect is that... - Source: Hacker News / 6 months ago
If you want to replicate Heroku's git push workflow while owning your infrastructure, Encore Cloud provisions managed resources in your own AWS or GCP account (powered by Encore, an open-source framework with 11k+ GitHub stars). You declare infrastructure as type-safe objects in your TypeScript or Go code, and Encore provisions the corresponding managed services. Everything else is standard TypeScript or Go. - Source: dev.to / 7 months ago
I work at Encore so I'm biased. We've had a bunch of people migrate over from Heroku in the last couple years, especially after they killed the free tier. The main difference from other alternatives is that you don't write any infrastructure config - you just declare what you need in your code (databases, cron jobs, pubsub, etc) and Encore handles provisioning it in your AWS/GCP account (works locally as well... - Source: Hacker News / 7 months ago
Most teams should start with the simplest option that meets their needs, then evolve if necessary. If you're building a backend application and don't want to become an infrastructure expert, Encore is worth trying. If you need maximum flexibility or multi-cloud support, Terraform is the industry standard. - Source: dev.to / 7 months ago
Today, we're launching Encore Cloud 2.0, a big upgrade to our development platform that understands your code and automates the operations layer. - Source: dev.to / 8 months ago
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