A common challenge in software development is creating and maintaining robust development environments.

The rise of AI agents has amplified this complexity by adding new demands around permission controls,

environment isolation, and resource management.

Ona is a platform for AI-native software development and engineering agents.

The platform combines autonomous agents with secure, standardized environments,

with a focus on giving enterprises control, security, and productivity,

so they can scale AI-native engineering without scaling risk.

Chris Vichol has more than two decades of experience spanning software

engineering and human computer interaction. He is currently the chief technology officer at Ona,

formerly GitPod, where he leads the engineering team behind the company's cloud native development

platform. Chris joins the podcast with Kevin Ball to talk about

Ona, the impact of coding with parallel agents, the future of IDEs, choosing agent-friendly languages,

code review as a new bottleneck in the software development lifecycle, and much more.

Kevin Ball, or K-Ball, is the vice president of engineering at Mento and an

independent coach for engineers and engineering leaders. He co-founded and served as CTO for two companies,

founded the San Diego JavaScript meetup, and organizes the AI inaction discussion group through

latent space. Check out the show notes to follow KBall on Twitter or LinkedIn or visit his website,

kball.l. LLC.

Chris, welcome to the show. Kevin, thank you for having me. Yeah, excited to the show.

Kevin, thank you for having me.

Yeah, excited to dig in.

Let's maybe start with you a little bit.

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