The emergence of language-model coding assistants has given birth to the vibe coding paradigm. Here, AI agents utilize plain language prompts to create entire applications, significantly reducing entry barriers and democratizing software development.
Nevertheless, many enterprise environments have substantial, legacy codebases. These complex and interdependent systems are not easily adapted to the greenfield approach of vibe coding, as they demand a deep context awareness, which language models often struggle to maintain.
Augment Code is an AI coding assistant dedicated to understanding the context of large codebases within enterprise settings. It focuses on managing large development areas while automating 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, working on AI reasoning in math and science. Guy appears on the podcast with Kevin Ball to discuss Augment Code, emphasizing its focus on full context for large enterprise codebases, the role of code review as a new bottleneck in AI-driven development, and more.
Full Disclosure: This episode is sponsored by Augment Code.
Kevin Ball, also known as KBall, 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.
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