The emergence of language-model coding assistants has introduced the vibe coding paradigm. This approach in software development allows AI agents to utilize plain language prompts to produce entire applications, significantly reducing entry barriers and widening access to software creation.
Conversely, many enterprises have extensive legacy codebases. These complex and interdependent systems are not as compatible with the greenfield approach of vibe coding. Navigating them effectively demands a deep understanding of context, a challenge that language models often encounter.
Augment Code is an AI coding assistant tailored for contextual comprehension of extensive codebases in enterprise environments. It highlights tools to handle large developmental areas while streamlining PRs and code reviews.
Guy Gur-Ari, a Co-Founder at Augment, holds a PhD in physics and was previously a Research Scientist at Google, focusing on AI reasoning in math and science. He appears on the podcast with Kevin Ball to discuss Augment Code, its emphasis on comprehensive context for large enterprise codebases, code review as a new hurdle in AI-driven development, and more.
Full Disclosure: This episode is sponsored by Augment Code.
Kevin Ball, or KBall, is the vice president of engineering at Mento and also an independent coach for engineers and engineering leaders. He co-founded and served as CTO for two companies, started the San Diego JavaScript meetup, and manages the AI inaction discussion group at Latent Space.
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