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Building the machine that builds the machine (Interview) thumbnail

Building the machine that builds the machine (Interview)

Published 11 Feb 2026

Duration: 1:36:31

Agentic coding is transforming software development with AI-driven tools that quickly generate code, but also require careful verification and oversight.

Episode Description

Paul Dix joins us to discuss the InfluxDB co-founder's journey adapting to an agentic world. Paul sent his AI coding agents on various real-world side...

Overview

The podcast explores how software development is changing with the rise of agentic coding, which involves using AI agents to generate and manage code automatically. Paul Dix, co-founder of InfluxDB, discusses his experience implementing agentic tools such as Chat2Pt, GitHub Copilot, Opus 4, and Clog Code, which have significantly accelerated the coding process. These tools were instrumental in creating a large-scale codebase, including a 60,000-line Rust implementation of PromQL for InfluxDB 3, showcasing the potential of AI to handle complex and extensive development tasks.

Despite the increase in productivity, the use of agentic coding brings new challenges. Ensuring code quality and reliability requires more emphasis on verification, testing, and human oversight. The conversation also touches on the shift in the role of developers from direct coding to managing AI agents, which alters traditional team structures and workflows. As AI becomes more involved in the development process, the importance of QA and testing is growing, signaling a broader transformation in how software is built and delivered.

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