YoutuBlog (HackerTube): read YouTube talks and podcasts
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16:17ENHow Salesforce doubled effective coding output with Claude CodeBoris Cherny, Muralidhar Krishnaprasad, Richard Pack · AnthropicSalesforce describes how it measures AI-assisted work, trains engineers to use agents, and checks the resulting code for defects.
10:38ENFactory’s Matan Grinberg on building software agents people can trustKai Gill, Matan Grinberg · AnthropicFactory’s CEO says an agent learned from one bank’s COBOL migration, reducing human involvement in the next by 90%.
12:19ENShopify’s Mikhail Parakhin: Spend on AI to do what was once impossibleBoris Cherny, Mikhail Parakhin · AnthropicShopify’s CTO describes a merchant prediction system and argues for using the largest models in development, then cheaper ones in production.
33:46ENHow Every builds a shared AI coworker that learns a team’s styleKatelyn Lesse, Dan Shipper, Willie Williams · AnthropicEvery’s Slack agent shares workflows, learns from an editor’s past changes and uses isolated sessions to respect access boundaries.
17:50ENPatrick Collison on shipping faster with AI without losing reliabilityBoris Cherny, Patrick Collison · AnthropicStripe’s CEO describes isolated development, hard security boundaries and an AI-assisted project built by two to three engineers in two months.
34:42ENThree founders on verifying, scaling and paying for AI agentsLance Martin, Sahaj Garg, Mihir Garimella, Todd Olson · AnthropicWispr, Actively and Pendo explain how they build agent products, test their work and decide what infrastructure to manage themselves.
22:23ENHow the Claude Code team moved from supervising steps to setting goalsThariq Shihipar, Sid Bidasaria, Robert Boyce · AnthropicAnthropic engineers describe delegating work in Slack, reviewing findings with multiple agents and removing scaffolding as models improve.
21:59ENHow Ramp gives AI agents access without losing controlBoris Cherny, Rahul Sengottuvelu, Austin Ray · AnthropicRamp builds for future models, studies individual agent failures and grants only the access each task needs.
16:33ENHow Anthropic expects agent infrastructure to changeJess Yann, Angela Jiang, Katelyn Lesse · AnthropicAnthropic’s platform team expects thinner agent frameworks, but says organizations still need permissions, evaluation and a way to measure value.
25:11ENDoorDash’s Andy Fang: Faster AI coding exposes the next bottlenecksBoris Cherny, Andy Fang · AnthropicDoorDash’s co-founder says security, reviews and coordination must change alongside coding speed for customers to see value sooner.
11:26ENHow Claude Tag brings an AI agent into a team’s Slack channelsCat Wu, Boris Cherny · AnthropicBoris Cherny and Cat Wu describe channel memory, follow-up tasks and the way coworkers learn by watching one another use the agent.
26:11ENSpotify lets agents change code at scale by investing in testsBoris Cherny, Niklas Gustavsson · AnthropicNiklas Gustavsson describes the automation and verification behind Spotify’s coding agents and rapid prototypes.
42:25ENClaude 5 launches with tools for long-running agents and parallel codingKatelyn Lesse, Diane Penn, Angela Jiang, Cat Wu · AnthropicAnthropic introduced Fable 5 and restricted-access Mythos 5 in Tokyo, alongside scheduled agents and a parallel translation demo.
18:07ENClaude Code’s first year: Make agents verify work and learn from mistakesCat Wu, Boris Cherny · AnthropicBoris Cherny and Cat Wu describe testing real interfaces, recurring bug-fix routines and the security checks behind auto mode.
37:09ENBuild an incident investigator with Claude Managed AgentsIsabella He · AnthropicIsabella He connects an agent, an environment and a session to logs and local tools, then traces a simulated outage.









