The emergence of language-model coding assistants has introduced the vibe coding paradigm, where AI agents can transform a simple language prompt into full applications. This greatly reduces entry barriers and broadens access to software creation. Nonetheless, many enterprises have extensive, legacy codebases that are complex, interdependent, and not easily adaptable to vibe coding. Navigating these systems requires deep contextual understanding, which language models often find challenging. Augment Code is an AI coding assistant that prioritizes understanding large enterprise codebases’ context. It provides tools to manage extensive development areas while automating PRs and code reviews. Guy Gur-Ari, a Co-Founder at Augment with a PhD in physics and former Google Research Scientist, joined Kevin Ball on a podcast to discuss Augment Code’s focus on comprehensive context for large codebases, the role of code review in AI-driven development, and other topics. Full Disclosure: This episode is sponsored by Augment Code. Kevin Ball is the VP of engineering at Mento and an independent coach for engineers. 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. Please click here to see the transcript of this episode.
Scaling AI in Enterprise Codebases: A Discussion with Guy Gur-Ari
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