{"podcast":{"title":"Chain of Thought | AI Agents, Infrastructure & Engineering","slug":"chain-of-thought-ai-agents","podcast_index_feed_id":7074333,"rss_url":"https://feeds.transistor.fm/chain-of-thought","website_url":"https://newsletter.chainofthought.show/","image_url":"https://img.transistorcdn.com/Yf0B0akhfAtC-Ahrn6UylfgdusLiIKiLKXlMy29dfwI/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81YjBh/ODMzMTY3ZjQ0MjBj/YTE1ODMwYTZlNDgx/Mjc2Mi5qcGc.jpg","author":"Conor Bronsdon","episode_count":59,"summary":"AI is reshaping infrastructure, strategy, and entire industries. Host Conor Bronsdon talks to the engineers, founders, and researchers building breakthrough AI systems about what it actually takes to ship AI in production, where the opportunities lie, and how leaders should think about the strategic bets ahead. Chain of Thought translates technical depth into actionable insights for builders and decision-makers. New episodes weekly. Conor Bronsdon is an angel investor in AI and dev tools, Technical Ecosystem Lead at Modular, and previously led growth at AI startups Galileo and LinearB. Disclaimer: All views, opinions and statements expressed on this account are solely my own and are made in my personal capacity. They do not reflect, and should not be construed as reflecting, the views, positions, or policies of Modular. This account is not affiliated with, authorized by, or endorsed by Modular in any way.","last_synced_at":null,"page_url":"https://stenobird.com/podcast/chain-of-thought-ai-agents"},"episode":{"title":"250,000 Lines of Code/Week: Inside an AMD VP's Agent-First Workflow | Anush Elangovan","slug":"250-000-lines-of-code-week-inside-an-amd-vp-s-agent-first-workflow-anush-elangovan","published_at":"2026-04-22T11:00:00+00:00","page_url":"https://stenobird.com/podcast/chain-of-thought-ai-agents/250-000-lines-of-code-week-inside-an-amd-vp-s-agent-first-workflow-anush-elangovan","show_page_url":"https://stenobird.com/podcast/chain-of-thought-ai-agents","url":"https://share.transistor.fm/s/81b87526","audio_url":"https://media.transistor.fm/81b87526/800e1d6c.mp3","summary":"AMD's VP of AI Software, Anush Elangovan, details how he uses parallel Claude Code agents to generate 250,000 lines of code per week. The discussion explores the shift from traditional SDLC to an agent-first workflow where testing replaces manual code review.","meta_description":"Learn how AMD's VP of AI Software uses 10+ parallel AI agents to rewrite legacy systems and why software development is becoming a matter of token through…","key_points":["Main idea: The traditional Software Development Life Cycle (SDLC) is being replaced by an agent-driven model where testing is the primary gatekeeper","Practical takeaway: Engineering leaders must upskill in AI orchestration to remain relevant as agent throughput increases","Failure mode: Relying on manual code reviews and Git-centric workflows may become a bottleneck as agents accelerate code production","Main idea: Software development is transitioning into a process of managing token consumption and high-level intent","Practical takeaway: Use agents to automate the entire pipeline from issue tracking to deployment and testing"],"chapters":[{"start_ms":60000,"title":"The Agent-First Workflow","summary":"Anush discusses his experience using Claude Code to drive development without opening a traditional editor."},{"start_ms":295000,"title":"The Impact of Massive Throughput","summary":"The challenge of managing the massive influx of code generated by parallel AI agents."},{"start_ms":530000,"title":"The Era of Token Maximization","summary":"Exploring how the ability to effectively coach agents is becoming a critical skill."},{"start_ms":765000,"title":"Automated Issue Resolution","summary":"How agents can monitor issue trackers, write tests, and deploy fixes autonomously."},{"start_ms":1000000,"title":"Rapid System Refactoring","summary":"A look at rewriting a 25-year-old Slurm replacement in Rust overnight using AI."},{"start_ms":1225000,"title":"The Need for AI-Native Leadership","summary":"Why engineering leaders must adopt AI-native practices to keep pace with industry speed."},{"start_ms":1455000,"title":"Upskilling for the Future","summary":"Advice for professionals on staying relevant in an era of rapid AI acceleration."}],"topics":["AI Agents","Software Development Life Cycle","AMD","Claude Code","Rust","LLM Throughput","AI Infrastructure","Open Source"],"duration_seconds":3053,"processing_state":"processed","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/chain-of-thought-ai-agents/episodes/250-000-lines-of-code-week-inside-an-amd-vp-s-agent-first-workflow-anush-elangovan/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/chain-of-thought-ai-agents/250-000-lines-of-code-week-inside-an-amd-vp-s-agent-first-workflow-anush-elangovan.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}