The rise of language model coding assistance has led to the creation of the vibe coding paradigm.

In this mode of software development, AI agents take a plain language prompt and generate entire applications,

which dramatically lowers the barriers to entry and democratizes access to software creation.

However, many enterprise environments have large legacy code bases,

and these sprawling systems are complex, interdependent, and far less amenable to the

Greenfield style of vibe coding. Working effectively within them requires deep context awareness,

something language models commonly struggle to maintain.

Augment Code is an AI coding assistant that focuses on contextual understanding of large code

bases in enterprise settings. It emphasizes tooling to manage large development surface areas

while automating PRs and code review. Guy Garari is a co-founder at Augment. He has a PhD

in physics and was previously a research scientist at Google, where he worked on AI reasoning and

math and science. Guy joins the podcast with Kevin Ball to talk about Augment Code. Its focus on

full context for large enterprise code bases,

code review as the new bottleneck in AI-driven development, 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.

Thank you. KBall. LLC.

Guy, welcome to the show.

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