Tokenless

Ai coding agents

Does Code Quality Still Matter? It Depends on This — Max Kanat-Alexander, Capital One

Does Code Quality Still Matter? It Depends on This — Max Kanat-Alexander, Capital One

Max Kanat-Alexander reframes the familiar "it depends" answer around two factors that govern all software work: understanding a system and safely changing it. He explains why code quality matters for durable software but not for a new, rapidly growing category of disposable software created by AI, and shows how to make systems more disposable and make rigor cheap through standardization, inward-flow tooling, easier testing, and maximum strictness.

SonarQube + OpenAI: Agentic Development — Killian Carlsen-Phelan, Sonar

SonarQube + OpenAI: Agentic Development — Killian Carlsen-Phelan, Sonar

A hands-on look at pairing Codex with SonarQube to verify agent-generated code inside the coding loop. The walkthrough covers secrets blocking, SQL injection remediation with a parameterized query, real-time agentic analysis, and the argument that completion requires evidence, containment is not correctness, and feedback belongs inside the agent loop.

Your AI Agent Has No Nervous System — Matt Gibiec, Dynatrace

Your AI Agent Has No Nervous System — Matt Gibiec, Dynatrace

Matt Gibiec of Dynatrace argues that coding agents are fast but blind without real context about how services run in production, and introduces Bluebox, an observability agent that brings dependency maps, production baselines, and change history into local testing, issue detection, fix suggestions, and pre-build planning, with a human approving the final result.

Orchestras, Not Factories: How the Fastest Builders Work — Charlie Holtz, Conductor

Orchestras, Not Factories: How the Fastest Builders Work — Charlie Holtz, Conductor

Charlie Holtz, co-founder and CEO of Conductor, shares six principles he has observed among the best AI-assisted builders, including staying near the frontier, creating slop-free zones, and giving agents cloud sandboxes. He also demos real-time collaboration and phone-initiated agents, and argues for orchestras over factories, with humans at the center of AI-driven development.

Building ambitious software — Jonathan Kelley, Dioxus Labs & Cognition

Building ambitious software — Jonathan Kelley, Dioxus Labs & Cognition

Jonathan Kelley, founder of Dioxus Labs, shares insights from building a cross-platform Rust app framework for five years. He details Dioxus's evolution, its core technologies like Blitz and Subsecond, and the transformative impact of AI coding agents. Kelley explains how AI excels at handling Rust's complexity, automating mundane tasks, and serving as patient specialists for knowledge-intensive problems, yet falls short in writing effective tests. He concludes that while AI makes code cheap, quality remains paramount, shifting the engineer's focus to architecture and strategic system design.