Thomas Dohmke on AI Assistance for Code Review

The GitHub executive discusses development work, human review and security backlogs.

TDThomas DohmkeInvitado · GitHub
Canal
No Priors: AI, Machine Learning, Tech, & Startups
Publicado
25 mar 2026
Vídeo
1:01
Lectura
1 min
Original
inglés
Abrir en YouTube
Al desplazarte, el vídeo se reduce a la esquina inferior derecha y sigue reproduciéndose. Los subtítulos siguen tu idioma de lectura.
Idioma de lecturaDisponible en 2 idiomas
Este artículo aún no está en español, así que se muestra el original en inglés.
RESUMEN

En 30 segundos

Dohmke expects AI to assist developers while maintaining human review before production.

  1. 1ReviewDohmke says review takes substantial time.
  2. 2Human oversightHe retains a role for human review.
  3. 3AutomationHe proposes assistance with warnings and vulnerabilities.

Conclusiones

  1. Developers spend time reviewing code.
  2. Human review remains important in his view.
  3. AI may help with warnings and security backlogs.
TEXTO COMPLETO

Lee el texto editado por capítulos

Solo la transcripción
01

How developers spend time

GitHub CEO Thomas Dohmke says developers often spend only part of their day writing code and also devote substantial time to reviewing colleagues’ work.

GitHub CEO Thomas Dohmke says developers often spend only part of their day writing code and also devote substantial time to reviewing colleagues’ work.

He argues that human review before production remains important for security and trust, even as AI assists the review process.

02

Review and security tools

Dohmke expects code-review agents to help distributed teams and wants scanning tools to assist with fixing vulnerabilities as well as finding them.

Dohmke expects code-review agents to help distributed teams and wants scanning tools to assist with fixing vulnerabilities as well as finding them.

He also cites routine lint and formatting warnings as work that AI could potentially address.

Dohmke hopes automation can reduce security backlogs in open-source and commercial projects, with platform tools supporting cooperation between agents and people. These are his goals, not guaranteed outcomes.

Más de este canal

38:06EN
No Priors: AI, Machine Learning, Tech, & Startups· 29 oct 2026Pódcast · 3 vocesServal’s Jake Stauch on coding agents for enterprise ITInvitado: Jake Stauch · Presenta: Sarah Guo, Elad GilStauch explains why Serval is challenging ServiceNow, how it approaches permissions and approvals, and why background agents remain difficult to deploy safely.IA empresarialAgentes de programaciónWorkflow automation+2
1:07EN
No Priors: AI, Machine Learning, Tech, & Startups· 27 oct 2026PódcastGeorge Kurtz on How AI May Change CyberattacksInvitado: George KurtzThe CrowdStrike CEO describes his assessment of evolving threats.
39:23EN
No Priors: AI, Machine Learning, Tech, & Startups· 15 oct 2026Pódcast · 2 vocesThe Defenders' Window: Greg Brockman on AI-Generated Knowledge, Drug Discovery, and the New Physics of CybersecurityPresenta: Sarah Guo, Elad GilOpenAI's president explains why solving open math problems is a proof point for science, how proactive agents change product form, and why security spending must exceed software spending.SeguridadAI securitySeguridad y gobernanza+3
1:04EN
No Priors: AI, Machine Learning, Tech, & Startups· 14 oct 2026PódcastWalter Goodwin on the Slow Steps in Chip DesignInvitado: Walter GoodwinA chip founder explains why automation does not remove every computational bottleneck.SemiconductorsAI cost & performance
1:09:44EN
No Priors: AI, Machine Learning, Tech, & Startups· 9 oct 2026Pódcast · 2 voces10,000 GB300s for Four Weeks: Reflection’s Open-Model LedgerPresenta: Sarah Guo, Elad GilMisha Laskin tells No Priors how Reflection trained Beam, why reinforcement learning outspent pre-training, and why the West needs its own open weights.Código abierto y comunidadOpen-weight modelsReinforcement Learning+3
0:39EN
No Priors: AI, Machine Learning, Tech, & Startups· 8 oct 2026PódcastMichael Lee on Rethinking Organizations with AIInvitado: Michael LeeA business leader argues that the opportunity goes beyond faster tasks.