30초 요약
Dohmke expects AI to assist developers while maintaining human review before production.
- 1ReviewDohmke says review takes substantial time.
- 2Human oversightHe retains a role for human review.
- 3AutomationHe proposes assistance with warnings and vulnerabilities.
핵심 정리
- Developers spend time reviewing code.
- Human review remains important in his view.
- AI may help with warnings and security backlogs.
챕터별로 다듬은 전문 읽기
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.
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.
같은 채널의 다른 글
38:06EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 10월 29일팟캐스트 · 3명Serval’s Jake Stauch on coding agents for enterprise IT게스트 Jake Stauch · 진행자 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.
1:07ENNo Priors: AI, Machine Learning, Tech, & Startups· 2026년 10월 27일팟캐스트George Kurtz on How AI May Change Cyberattacks게스트 George KurtzThe CrowdStrike CEO describes his assessment of evolving threats.
39:23ENNo Priors: AI, Machine Learning, Tech, & Startups· 2026년 10월 15일팟캐스트 · 2명The Defenders' Window: Greg Brockman on AI-Generated Knowledge, Drug Discovery, and the New Physics of Cybersecurity진행자 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.
1:04ENNo Priors: AI, Machine Learning, Tech, & Startups· 2026년 10월 14일팟캐스트Walter Goodwin on the Slow Steps in Chip Design게스트 Walter GoodwinA chip founder explains why automation does not remove every computational bottleneck.
1:09:44ENNo Priors: AI, Machine Learning, Tech, & Startups· 2026년 10월 9일팟캐스트 · 2명10,000 GB300s for Four Weeks: Reflection’s Open-Model Ledger진행자 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.
0:39ENNo Priors: AI, Machine Learning, Tech, & Startups· 2026년 10월 8일팟캐스트Michael Lee on Rethinking Organizations with AI게스트 Michael LeeA business leader argues that the opportunity goes beyond faster tasks.