30초 요약
Lloyd imagines agents integrated into developer workflows and argues that automation may have clearer business value.
- 1Programmatic useLloyd wants developers to call agents.
- 2DocumentationHe proposes an automation example.
- 3Business valueHe contrasts automation and productivity claims.
핵심 정리
- Agents could be called programmatically.
- Routine documentation is one proposed use.
- Automation may be easier to evaluate.
챕터별로 다듬은 전문 읽기
Programmable agents
Warp founder Zach Lloyd says he is interested in agents that developers can call programmatically, in addition to interactive use.
Warp founder Zach Lloyd says he is interested in agents that developers can call programmatically, in addition to interactive use.
He offers a proposed example: an agent in a continuous-integration workflow could help keep documentation current when code changes.
Automation and value
Lloyd argues that automating disliked routine tasks could benefit developers.
Lloyd argues that automating disliked routine tasks could benefit developers.
From a business perspective, he sees complete automation as potentially easier to evaluate than a general productivity improvement, whose return can be difficult to prove.
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.