
DigitalOcean
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Vultr
Amazon AWS
Microsoft Azure
Heroku
Bluehost
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DevOS
SRE.ai
Workflos.ai
y0
DevOS is what happens when you stop thinking of AI as "a tool" and start thinking of it as "an employee." The premise: AI coding agents in 2026 are technically remarkable. Devin can ship features autonomously. Cursor + Claude Code accelerate every senior engineer. Copilot writes half the boilerplate. But every existing AI agent product treats AI as a tool you call โ invoked from an IDE, prompted in a chat, given a one-shot task. That's the wrong frame for how teams actually work. Real teams don't have "tools" โ they have employees. Employees: Have specialized roles (frontend, backend, QA, design, copy, sysadmin) Take tickets off a sprint board Attend standups and report blockers Hand off work to teammates with context Open PRs, get code reviews, respond to comments Have a track record visible across sprints DevOS treats AI agents the same way. Three layers in one product: 1. The marketplace. Browse specialized AI agents by role. Each comes with role-specific prompting, tool integrations, and a track record. Hire as many as your team's working style needs. Agents are configured for their role โ a "frontend dev" agent ships React/Vue with the team's design system patterns; a "copywriter" agent ships marketing pages in your brand voice; a "QA" agent writes Playwright tests and triages bugs. 2. The sprint board. Linear/Jira-style kanban with full agile machinery: sprints, epics, backlog grooming, sprint planning, retrospectives. Agents appear as assignable team members. Drag a ticket onto an agent the same way you'd assign it to a human dev. The agent picks it up, posts an estimate, asks clarifying questions if needed, and starts working. 3. The communication layer. Standups are automated โ every morning agents post what they shipped yesterday, what they're doing today, and what's blocking them. PRs are opened in your real repo. Code reviews happen in real GitHub / GitLab. Slack/Discord/Telegram integration so humans can talk to agents like teammates
DigitalOcean
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Based on our record, DigitalOcean seems to be more popular. It has been mentiond 68 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.
DigitalOcean Managed Databases โ Affordable managed hosting for both PostgreSQL and MySQL with automated backups. - Source: dev.to / 4 months ago
Digital Ocean's App Platform can be seen as a middleground between Sliplane and Render in terms of simplicity, pricing and scalability. - Source: dev.to / 9 months ago
Instead of applying for free credits, create accounts with providers that focus on dedicated and cloud servers/VPS like Hetzner, DigitalOcean, Vultr, and Scaleway. Check out our guide, "Choosing the Right Cloud Provider" for ideas on which cloud provider to use. Most SaaS, IoT, or web projects need just one or a few cloud servers. There are many guides on deploying runtimes, databases, and other tools on basic... - Source: dev.to / over 1 year ago
At least a 2vCPU, 4GB VPS from a trusted provider like Hostari or DigitalOcean. - Source: dev.to / over 1 year ago
Providers include Digital Ocean, Heroku or Render for example. - Source: dev.to / almost 2 years ago
Linode - We make it simple to develop, deploy, and scale cloud infrastructure at the best price-to-performance ratio in the market.
SRE.ai - AI agents to simplify and automate Salesforce devops
Vultr - Global, automated cloud infrastructure from the broadest array of AMD and NVIDIA GPUs to virtual CPUs, bare metal, Kubernetes, storage, and networking solutions.
Workflos.ai - AI assistant to Find & Manage SaaS with natural language
Amazon AWS - Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. Free to join, pay only for what you use.
y0 - AI agents that code, browse, and build for you