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DevOS
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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
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Based on our record, CloudFlare seems to be more popular. It has been mentiond 108 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.
Cloudflare | Systems or ML Engineer, Workers AI | Austin, TX or London, UK or San Francisco, CA (Hybrid) | Full-Time | https://cloudflare.com Cloudflare is building across the entire AI stack. Here are some exciting things that we have launched recently: - [Release Cog v0.17](https://github.com/replicate/cog/releases/tag/v0.17.0). - Source: Hacker News / 4 months ago
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In the past, I've used simpler domain registrars for my personal projects, but for Trails, I wanted something that offered a more robust set of features. I chose Cloudflare for its powerful DNS management and security benefits, which made it a perfect candidate. - Source: dev.to / 11 months ago
Platforms like Railway, Render, Fly.io, Vercel, Supabase, and Cloudflare are leading the charge with a shared philosophy:. - Source: dev.to / about 1 year ago
Sign up on cloudflare, add your domain, and change the nameservers. - Source: dev.to / about 1 year ago
Amazon CloudFront - Amazon CloudFront is a content delivery web service.
SRE.ai - AI agents to simplify and automate Salesforce devops
KeyCDN - KeyCDN is a high-performance Content Delivery Network (CDN). Lowest price globally at $0.04/GB with HTTP/2 Support and free Origin Shield.
Workflos.ai - AI assistant to Find & Manage SaaS with natural language
Akamai - Akamai is the leading content delivery network (CDN) services provider for media and software delivery, and cloud security solutions.
y0 - AI agents that code, browse, and build for you