Last call for the AI conversation happening this week! On September 30, a select group of technology leaders will gather at The Union League Club in NYC for an executive breakfast and roundtable on one of the challenges emerging as AI adoption accelerates: how to QA, test, and maintain AI-generated code at scale. A closed-door conversation focused on real experiences, practical challenges, and what it takes to build more resilient and sustainable AI adoption. 📅 September 30 | 8:30 AM 📍 The Union League Club, NYC Only a few spots remain. 📩 Interested in joining? Contact events@coderio.com to request an invitation. #enterpriseai #softwareengineering #technologyleadership #Coderio
About us
We are the premier Nearshore Software Outsourcing company in the Americas. We operate at the intersection of engineering and strategy, combining technology expertise, enterprise-grade precision, and cross-industry experience to craft high-quality technology solutions. Our timezone–aligned software development teams reimagine engineering by blending technical prowess with artistry to add value to businesses of all sizes. From experienced Software Engineers to augment your tech team, to fully managed expert Development Squads. We design, engineer, and deliver customized technology solutions for companies of every size. We can assemble your enterprise-level dev squad within 7 days. Scale fast with our on-demand, timezone-aligned software development talent. Accelerate your digital transformation with our expert nearshore engineering teams. Contact us: hello@coderio.com
- Website
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https://www.coderio.com/
External link for Coderio
- Industry
- Software Development
- Company size
- 201-500 employees
- Headquarters
- New York, NY
- Type
- Privately Held
- Founded
- 2017
- Specialties
- Front-end Development, Back-end Development, Mobile App Development, Digital Transformation, Cloud Computing, Legacy Application Migration, Strategic Tech Partner, Data Science, Cloud App Development, Artificial Intelligence, Machine Learning, Data Warehouse, e-commerce Development, Java, Python, PHP, React, Ruby, .NET, and Automation
Locations
Employees at Coderio
Updates
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What if moving faster with AI actually meant slowing down first? Most companies are still bolting AI onto architectures that were never designed for it. In “Building for What’s Next,” Manuel Crotto, CTO at Coderio, explores what it takes to build AI-native systems, from data infrastructure and APIs to LLMOps, observability and governance. Because the real advantage isn’t shipping the next AI feature faster. It’s building the system that makes the next 100 easier to ship. 👉 Read the full article: https://lnkd.in/dRuQJ2Gt #ai #softwarearchitecture #technology #Coderio
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Moving fast with AI doesn’t always mean moving forward. As Manuel Crotto, Chief Technology Officer at Coderio explores, organizations that prioritize shipping AI features without building the right infrastructure can end up slowing down their ability to scale, iterate, and capture real value. The question isn’t just how quickly you can launch the next AI use case. It’s whether your architecture is ready to support the ones that come after it. 💬 What’s your take? Is the pressure to move fast creating long-term AI challenges? 👉 Read the full blog: https://lnkd.in/dRuQJ2Gt #ai #softwarearchitecture #digitaltransformation #Coderio
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The AI conversation is changing. The next one should be more focused. On September 30, Coderio is bringing together a select group of technology leaders for an exclusive executive breakfast and roundtable at The Union League Club in New York. The conversation will go beyond AI adoption to address what happens when AI-generated code enters the real world: QA, testing, maintenance, and the challenges of building software that can scale safely and sustainably. No panels. No generic presentations. Just a closed-door exchange of experiences, challenges, and perspectives among technology leaders navigating AI adoption firsthand. 📅 September 30 | 8:30 AM 📍 The Union League Club, NYC Interested in joining the conversation? 📩 Email events@coderio.com to request an invitation. #enterpriseai #aicode #softwareengineering #technologyleadership #Coderio
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AI is changing how organizations need to build their technology infrastructure. In “Building for What’s Next: How Forward-Looking CTOs Are Architecting Systems Around AI From the Ground Up,” Manuel Crotto, Chief Technology Officer at Coderio, explores what it takes to move from AI-augmented to AI-native architecture. → AI-native architecture treats AI as a core design constraint, not an add-on. → The right infrastructure decisions today can determine how quickly you scale AI tomorrow. 👉 Read the full blog: https://lnkd.in/dRuQJ2Gt #ainative #artificialintelligence #technologyarchitecture #coderio
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Gartner predicts more than 40% of agentic AI projects will be canceled by the end of 2027, driven by escalating costs, unclear business value, and inadequate risk controls. Read that list again. Not one of those is a model problem. They're readiness problems. And every one of them is visible before you write a line of code, if you actually look. Our AI Readiness Scorecard takes 4 minutes and tells you which of them you're carrying right now. Four minutes. One score. The list of what's actually blocking you → https://lnkd.in/djnpMYAu #ai #techleadership #aireadiness
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AI adoption is accelerating, but adoption alone does not guarantee business impact. The gap between using AI and translating it into measurable financial value points to a bigger challenge. Organizations need the right data foundations, operating models, governance and strategy to move beyond experimentation and make AI deliver at scale. In his latest article, Fred Schwark explores what it really takes to become an AI-ready organization and turn AI investments into meaningful business outcomes. Read the full article: https://lnkd.in/esaKMYuP #Coderio #ai #aireadiness #digitaltransformation
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Organizations that are ready for AI are better positioned to innovate, adapt, and compete in an increasingly digital world. At Coderio, we help enterprises establish the technological, operational, and data foundations required to adopt AI at scale and transform business potential into measurable outcomes. 🔗 Discover how we can help: https://lnkd.in/dEQiQCyW #Coderio #ai #digitaltransformation #softwaredevelopment
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AI adoption is moving fast. But is your codebase ready to keep up? On September 30, we’re bringing together a select group of technology leaders for an executive breakfast and roundtable focused on a challenge that’s becoming harder to ignore: QA, testing, and maintaining AI-generated code at scale. A candid conversation on what it takes to build AI adoption that is resilient, sustainable, and ready for the long term. 📅 September 30 | 8:30 AM 📍 The Union League Club, NYC 📩 Interested in attending? Email events@coderio.com to request an invitation. #enterpriseai #softwareengineering #aicode #technologyleadership #Coderio
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AI-native isn’t about adding an AI feature. It’s about changing how the business operates around intelligence. In his latest article, Javier López Ramos, CEO at Coderio, explores what truly makes an organization AI-native and why bolting AI onto existing processes isn’t enough. 👉 Read the full article below.
"AI-native" is on nearly every company's homepage now, usually attached to a chatbot or a copilot feature. Almost none of them have actually earned the label. The honest test isn't whether a company has AI features. It's whether removing the AI layer would fundamentally break how the company operates, or just remove a convenience. If a chatbot disappears and the business runs exactly as before, that's a bolted-on feature. If an AI-driven decisioning layer disappears and the business can't function at the same speed, that's AI-native. Because the intelligence was actually load-bearing. Full article below. 👇