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No More Slop — swyx
AI Engineer session on No More Slop, presented by swyx. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on No More Slop, presented by swyx. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on From Vibe Coding To Vibe Engineering, presented by Kitze, Sizzy. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on The Cure for the Vibe Coding Hangover, presented by Corey J. Gallon, Rexmore. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Can you prove AI ROI in Software Eng? (Stanford 120k Devs Study), presented by Yegor Denisov-Blanch, Stanford. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Context Engineering: Connecting the Dots with Graphs, presented by Stephen Chin, Neo4j. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Small Bets, Big Impact Building GenBI at a Fortune 100, presented by Asaf Bord, Northwestern Mutual. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Dispatch from the Future: building an AI-native Company, presented by Dan Shipper, Every, AI & I. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on The 3 Pillars of Autonomy, presented by Michele Catasta, Replit. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Context Platform Engineering to Reduce Token Anxiety, presented by Val Bercovici, WEKA. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Leadership in AI Assisted Engineering, presented by Justin Reock, DX (acq. Atlassian). It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on What We Learned Deploying AI within Bloomberg’s Engineering Organization, presented by Lei Zhang, Bloomberg. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Welcome to AIE LEAD - Alex Lieberman, Tenex. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Moving away from Agile: What's Next, presented by Martin Harrysson & Natasha Maniar, McKinsey & Company. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on What Data from 20m Pull Requests Reveal About AI Transformation, presented by Nick Arcolano, Jellyfish. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on The Infinite Software Crisis, presented by Jake Nations, Netflix. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on AI Consulting in Practice, presented by NLW, Superintelligent, @AIDailyBrief. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Building Cursor Composer, presented by Lee Robinson, Cursor. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on VoiceVision RAG - Integrating Visual Document Intelligence with Voice Response, presented by Suman Debnath, AWS. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Efficient Reinforcement Learning, presented by Rhythm Garg & Linden Li, Applied Compute. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on From Arc to Dia: Lessons learned building AI Browsers, presented by Samir Mody, The Browser Company of New York. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on The Unreasonable Effectiveness of Prompt Learning, presented by Aparna Dhinakaran, Arize. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Compilers in the Age of LLMs, presented by Yusuf Olokoba, Muna. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on Vision: Zero Bugs, presented by Johann Schleier-Smith, Temporal. It adds practical context for how teams are building and operating AI systems in production.
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AI Engineer session on No Vibes Allowed: Solving Hard Problems in Complex Codebases, presented by Dex Horthy, HumanLayer. It adds practical context for how teams are building and operating AI systems in production.