Name: Boosting DevOps Productivity with Ballerina & Coder
Start: 2025-07-08T16:00:00Z
End: 2025-07-08T16:01:23.000Z
Location: BrightTALK
Rating: 0

Coder is a self-hosted remote development platform that shifts software development from local machines to the cloud, enabling quick onboarding, software development from anywhere, and code building on powerful servers—all while keeping source code and data secure behind your firewall.

In this episode, Nicky Pike interviews Rob Whiteley, CEO of Coder, discussing the advancement of cloud development environments, the impact of AI on developer productivity, and the future of software engineering. Rob shares his thoughts on the origins of Coder, the challenges organizations face in adopting new technologies, and the potential of agentic AI within developer flows. The conversation also touches on the lessons learned from the dot com bubble and the importance of embracing AI without fear.

From Minecraft Mods to AI Agents: How Coder Is Rebuilding Development

If you’ve ever had to rebuild a dev environment from scratch, you know how painful it can be. Hours spent installing packages, syncing config files, troubleshooting weird edge cases, and praying that Docker behaves the same way it did yesterday.

DevOps Engineer Caio Delgado has been through that grind more times than he can count across freelance projects, homelab experiments, and even client infrastructure. At one point, he tried scripting it all with Ansible just to keep things sane, but even that wasn’t smooth enough.

That’s when he started looking for something better. Something that would let him:
Spin up clean, isolated environments on demand
Share setups across machines without dragging config drift
Get the same environment—every time—whether he's on a laptop, a cloud VM, or a beefy desktop at home

That search led him to Coder.

In this video, he walks you through how he uses Coder to manage cloud-based dev environments—why it fits into his workflow, what problems it helped him solve, and how you can get started if you’re facing the same headaches.

Transforming Development Workflows with Coder: A DevOps Must-Have

In this episode of the Tech Transformed podcast, Dana Gardner, a thought leader, speaks with Rob Whiteley, CEO of Coder, about the transformative impact of agentic AI on software development. They discuss how AI is changing the roles of developers, the cultural shifts required in development teams, and the integration of AI agents in cloud development environments.

Agentic AI is seemingly set up for favourable outcomes. Or is it? Agentic AI is believed to shake-up enterprise IT, offering a productivity boost similar to the iPhone's impact.

This isn't about replacing developers but amplifying their output tenfold. It aims to allow the implementation of rapidly created solutions and iteration that has been unimaginable in the past. This shift requires valuing "soft skills" like communication and collaboration over pure coding proficiency, as developers guide AI "pair programmers."

The synergy of AI agents, human intellect, and Cloud Development Environments (CDEs) is key. CDEs provide secure, governed, and scalable platforms for this collaboration, allowing developers to focus on business logic and innovation while AI handles the coding groundwork. This requires a move from rigid "gates" in development processes to flexible "guardrails" within CDEs. Such a move fosters innovation with built-in control and security.

Flexibility and choice are vital in this constantly advancing AI space. CDEs enable organisations to select the best AI agents for specific tasks, avoiding vendor lock-in by expressing the development environment as code. This leads to practical applications like faster prototyping, enhanced code development, and automated testing, significantly boosting code output. 

Watch the podcast for more insights on CDEs and the impact of AI agents on enterprise cloud development.

How AI Agents Are Changing Enterprise Cloud Development

Join us to see how Coder and DX work together to make developers' lives easier. We'll show you how cloud environments and smart metrics can fix those frustrating "it works on my machine" problems, get new team members up to speed faster, and give you clear insights into what's actually working. Learn how better developer tools translate to business results.

Find out how cloud development environments can end those environment headaches once and for all. We'll show you how to cut onboarding time from weeks to hours/minutes and give everyone on your team a consistent, reliable setup.

Get practical ways to measure what actually matters in developer experience. We'll break down how to use metrics that make sense and show you how to connect smoother developer workflows to business value, your leadership will care about.

Walk away with a simple, effective process that combines Coder's consistent developer environments with DX's measurement tools to create a feedback loop of constant improvement, making developers happier and more productive over time.

From Friction to Flow: Improve & Measure Dev Experience with Coder & DX

What if I told you that you are developing your applications the wrong way? Yes, even in 2025! Think about it: We host our applications in the cloud, our CI/CD pipelines run in the cloud, our code is stored in the cloud (GitHub, GitLab, etc.)... but where do we actually write and test that code? Often, it's stuck on our local machines. 

But What happens if you break your computer, well your code is safe, its stored in the cloud, but what about your dev environment. Reinstalling everything would take days and it would be a huge headache. But what if we could also put our dev environment into the cloud? How about the cloud development environment?

The Right Way to Develop Modern Applications  (You're Probably Doing It Wrong)

Rob Whiteley, CEO of Coder Technologies, and Kelsey Hightower, software engineer and developer advocate, speak with theCUBE Research analyst John Furrier during KubeCon + CloudNativeCon NA, about the evolving preferences of developers between cloud-based and laptop environments. They explore the impact of advancements in hardware on the development process, debating whether the increasing power of local machines could shift the focus away from cloud environments for software development.

The conversation also touches on the implications of such a shift for enterprise development, considering aspects such as security, collaboration and innovation. Hightower and Whiteley delve into how the development landscape might adapt to accommodate both the powerful capabilities of modern laptops and the scalability of cloud computing, reflecting a nuanced view of future development practices.

What is the Future of Cloud Native Environments?

In this panel discussion, experts from Coder, Skydio, and Splunk dive into the evolution of Cloud Development Environments (CDEs) and what the future holds for developers, platform engineers, and product teams.

Join Elliot Graebert (Sr. Director of Engineering, Skydio), Michael Steele (Sr. Principal Engineer, Splunk), Ben Potter (VP of Product, Coder), and Jess Sweet (Sr. Product Marketing Manager, Coder) as they explore:

- What CDEs mean for modern development
- How leading teams are adopting and evolving their dev environments
- The shift from local to ephemeral cloud-based workspaces
- How AI is being integrated into engineering workflows
- What's next for dev tooling, security, and productivity
- And lightning-round predictions on the future of coding, infrastructure, and team structure

Whether you're a software engineer, DevOps lead, or engineering manager, this conversation is packed with insights on how to reduce friction and empower flow in your development lifecycle.

From Friction to Flow: A Conversation on the Future of Dev Environments

Running AI models on a personal machine might seem convenient—but is it really secure? In this video, we walk through three approaches to running AI workloads: starting with local tools like Ollama, then using Docker for added isolation, and finally spinning up fully customizable, cloud-hosted development environments with Coder.

In this video, you’ll learn:

- Why we don’t trust running AI models directly on our own machines

- How to use Docker to safely isolate AI workloads

- How to spin up secure, cloud-based dev environments with Coder

- How Coder templates can help teams standardize environments with tools like Ollama and LLaMA pre-installed

Whether you're an AI engineer, a curious developer, or part of a team that needs consistent, secure setups, this video shows how to run AI workloads the right way.

Why We DON'T Run AI-Models Locally (Only In Docker or Cloud!)

Explore the capabilities of deploying AI/ML development tooling at scale using Coder. This webinar will dive into the practical applications and efficiencies one can achieve through Coder's innovative solution.

In this webinar you will learn how to:
- Use Coder’s enterprise features to deploy a Cloud Development Environment that scalable and resilient
- Design powerful yet cost effective GPU enabled Kubernetes clusters
- Deploy LLMs and machine learning libraries in a consistent and secure manner while maintaining the governance that large enterprises and regulated entities require

Deploy AI/ML Development Tooling at Scale with Coder

“In our research at Enterprise Strategy Group (ESG),” explains Practice Director of Infrastructure & Modernization Scott Sinclair, “we see increasing challenges in application development and modernization to adjust for increasing security requirements, pressure from the business to accelerate pace, and the need to integrate across distributed, disparate infrastructure environments.”

Generative AI (GenAI) can ameliorate these challenges. And what’s more, ESG notes that 22% of organizations identify app development as the likeliest area for significant investment in GenAI this year.

In this exclusive webinar, live as of May 2, 2024, at 12pm EST, ESG’s Sinclair sits down with Rob Whiteley, CEO of Coder, to discuss the state of GenAI and its role in assisting app development in today’s businesses.

Register for the webinar today and tune into the session to dive into:
• The state of GenAI
• How to implement Gen AI in your development methodology & operations
• The benefits of Coder and its role in GenAI 
• Key takeaways from Whiteley and Sinclair

Accelerating App Development with GenAI

Explore the capabilities of deploying generative AI at scale using Coder. This webinar will dive into the practical applications and efficiencies one can achieve through Coder's innovative solution, including at-scale deployments of VS Code Web, Gemini and GitHub Copilot with a few lines of code in a declarative template.

In this webinar you will learn:

- The principles of multi-project, at-scale deployments using Coder.
- How to enhance developer productivity and collaboration using Coder's cloud development environments (CDEs).
- How to maintain consistency, security, and governance in AI tool deployment at scale.
- Explore real-world applications and the benefits of seamless integration with popular development tools.

Deploy GenAI at Scale with Coder

In an era where agility, innovation, and data-driven decision-making define market leaders, the right tools are critical to unlocking business value. This exclusive webinar will showcase how Coder, in partnership with Amazon Q Developer, delivers unparalleled advantages by combining Cloud Development Environment platforms with the power of AI and machine learning.

Join us as we explore how Coder’s seamless integration with Amazon Q Developer’s advanced AI enables organizations to:

Accelerate developer productivity software development and deployment.
Leverage predictive analytics for more informed decision-making.
Create highly personalized customer experiences with AI-driven insights.
This webinar will highlight practical applications of Coder and Amazon Q Developer, featuring real-world examples of how companies across industries are using these technologies to unlock hidden value, enhance performance, and drive measurable business growth.

Unlock the Power of Advanced AI with Coder and Amazon Q Developer

Tackling the complexities of diverse codebases, uniform environments, and hardware costs can be daunting. Coder simplifies environment setup and enhances real-time collaboration, while Tabnine’s AI code assistant accelerates every phase of your development lifecycle. Join us on Tabnine Live to see how these tools seamlessly blend to boost productivity, ensure adherence to coding standards, and maintain control over AI within your secure cloud environments.

- Experience firsthand how Coder and Tabnine streamline coding tasks, from real-time collaboration to code generation, unit testing, and documentation, all while maintaining adherence to your organization’s coding standards and best practices.

- Discover how Tabnine’s AI code assistant adapts to your coding style, integrates seamlessly with Coder CDE, IDEs and git repositories to accelerate software development for every project with support for over 600 languages, libraries, and frameworks. 

- Understand the importance of privacy, security, and performance in deploying AI tools like Tabnine. Discover how to leverage its advanced personalization features and privacy capabilities to safeguard your code while optimizing team productivity.

Using the Power of AI to Improve Code Quality & Collaboration

Many organizations have embraced the cloud for deploying software, but they still rely on local machines for development. Isn’t it time to bring development into the cloud too? Many are still building work-alikes on their laptops, or using shadow IT when local resources become a constraint. Deploying a Cloud Development Environment (CDE) that is secure, stable, scalable, and loved by developers is no longer a luxury—it's a necessity. This talk presents the process behind deploying a robust CDE that becomes a competitive advantage for your organization. 

Attendees will learn how to leverage cloud-native technologies to build scalable CDEs that maintain both performance and developer experience. This talk will focus on:

Key characteristics of an effective CDE: Automation, self-service, resource efficiency, and flexibility—ensuring resilience and adaptability for a growing organization.

Beyond the technology: Measuring and improving developer experience at scale, justifying costs, fostering cross-functional collaboration, planning migrations, and securing executive sponsorship.

Practical insights for long-term impact: Incremental steps to transform a CDE into a strategic asset—accelerating innovation, reducing time-to-market, and promoting continuous improvement. 

Whether you’re an engineering manager, DevOps professional, or CTO, this session will empower you with the knowledge to deploy a CDE that evolves into a strategic advantage for your organization.

Cloud Development Environments Are Strategic Assets

Skydio engineers commit code on their first day—sometimes even contributing to a working drone! How? By using cloud development environments (CDEs) to remove setup delays, streamline workflows, and eliminate common bottlenecks.

Join Coder and Skydio to discover how CDEs transformed Skydio’s development process. Dive into their journey before and after adopting Coder’s cloud-based workspaces, the challenges they faced, and the impact on productivity. You’ll also learn how CDEs solved the infamous “works on my machine” problem, ensuring reliable development across teams.

What You’ll Learn:

How Skydio’s developer culture and tech stack drive innovation
How CDEs reduce developer toil and speed up onboarding
Real-world time savings and efficiency gains from cloud-based development
Whether you’re scaling an engineering team or considering a move to remote development, this webinar will give you practical insights to improve your workflow.

Accelerating Development: How Skydio Engineers Leverage CDEs

Spike Curtis, principal engineer for Coder Technologies, dives into why open source software security concerns are valid, and why the only viable option is to invest more in securing software supply chains to mitigate potential threats.

Open Source Software Security Concerns with Spike Curtis

Most developers fine-tune their setups for efficiency, but in practice, they’re constantly switching between tools, environments, and shifting priorities—slowing them down.

This webinar is for engineering leaders who want to eliminate workflow bottlenecks, reduce developer friction, and create an environment where teams can focus on shipping code, not fighting their tools.

What you’ll learn:

How to enable seamless context switching without losing momentum
Strategies to cut build and compile times for faster delivery
Finding the right balance between centralized control and developer autonomy

The Perils of Context Switching

In the cloud era, deployment isn’t just an afterthought—it’s a crucial part of the development process. But what if your programming language could simplify deployment alongside coding?

Join us for an exclusive talk with Anupama Pathirage from Ballerina.io, where we’ll explore how Ballerina, a cloud-native programming language, enhances DevOps productivity by enabling seamless code-to-cloud transitions.

What You'll Learn
- How cloud-native languages improve DevOps workflows
- Introduction to Ballerina Programing Language
- Live demo: Setting up a Ballerina-ready workspace using Coder and running an integration
- Open-source initiatives driving modern development efficiency

Whether you’re building microservices, automating deployments, or optimizing cloud workflows, this session will equip you with practical insights and hands-on knowledge.

Don’t miss this chance to learn from an expert, see Ballerina & Coder in action

Boosting DevOps Productivity with Ballerina & Coder

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Boosting DevOps Productivity with Ballerina & Coder

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