Thariq Shihipar (@trq212) is an engineer on Anthropic’s Claude Code team I asked him how Anthropic makes the most out of the models for engineering and how the industry will change soon. In this episode: • Internal best practices in leveraging the models • What percent of Anthropic's work is fully autonomous • How Anthropic maintains higher volumes of code • What has worked in preventing AI-written breakages Where to watch: • YouTube - • Spotify - • Apple Podcasts - • Transcript - Thank you to the sponsor of this episode for supporting my work: • WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at Chapters: 00:00 Intro 00:29 Onboarding at Anthropic 02:53 Internal capabilities vs external perception 06:16 Model vs Harness 08:55 What percent of Anthropics changes are fully autonomous 14:51 Computer use 17:42 How to make the most out of your compute 20:45 Loop engineering 22:47 Where the industry will go soon 26:02 Which model do Anthropic engineers use 27:38 Is learning a particular model worth it 30:56 Prompting tips for todays models 35:04 How to get the models to do tasteful work 39:00 How much of writing is done by AI at Anthropic 45:36 Code ownership and maintenance at Anthropic 52:04 How Anthropic prevents breakages 55:24 Visibility and sharing your work 58:42 Luck surface area example 01:00:57 Should people still learn to code 01:07:42 Advice for his younger self 01:09:58 Outro

A black Mahindra Thar was allegedly driven in circles on the rooftop of a seven-storey parking facility in Sector 18, Noida, in a 57-second video that went viral. Noida Police arrested two 23-year-old men from Delhi, identified as Abhishek Tripathi and Jatin Kumar. The SUV was seized, and further legal proceedings are underway. The incident has raised concerns over dangerous stunts performed for social media attention. #Noida# #ViralVideo# #Thar# #DelhiNews# #RoadSafety#

Grateful to President @Tharman_S and G30 for a thoughtful dialogue on the challenges facing policymakers today. With three powerful crosscurrents—AI, mounting public debt and high energy costs—shaping the global economy, decisive policy action cannot be delayed.

Always an honor to meet President @Tharman_S. We discussed the resilience of Singapore’s economy, the global outlook, AI, rising public debt & thinning fiscal buffers, & the importance of global cooperation. Thank you, Singapore, for your strong partnership with the IMF.