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Detected Across Public Sources

Evidence specific to Qodo across indexed public receipts.

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From building AI projects with Codex to meeting @sama at OpenAI for the 5.5 party. He has such calm, grounded energy. I asked him where he thinks we are with AI code quality. He said β€œwe still have some ways to go.” Proud to be repping @QodoAI on that journey. πŸ’œ https://t.co/dqyyWxaPAJ@nnennahacks Β· 424 engagementI highly recommend this. The Agentic Review is a new podcast from @QodoAI hosted by Itamar Friedman and Nnenna Ndukwe, and it's a great AI coding show that's neither hype nor doom. It's honest conversations about what shipping high-quality AI-generated code actually looks like. We need more of these conversations around AI agents. As an AI engineer, I think about this stuff constantly. A few things make this show worth your time: * It's a conversation about what good code means in the era of coding agents. * The hosts actually push back at guests instead of doing softball interviews. * The current guest lineup is strong: @dexhorthy, @shanselman, and @fullstackpython. I work a lot on context engineering, so the Dexter Horthy episode resonates the most for me. His take on context engineering as one of the biggest moats right now matches exactly what I'm seeing in production. He talks about a five-month experiment where his team stopped reading the code, then ripped it all out and rebuilt it by hand. That lesson about owning your context and actually reading what your agents produce is something every AI engineer needs to understand today. The bigger thesis across episodes: typing code may be dying, but the SDLC, code review, and craft matter more than ever. AI sprinkled on a broken software lifecycle is "a band-aid on cancer" (Hanselman's line, and it stuck with me). Thanks, @QodoAI, for the partnership on this post.@omarsar0 Β· 121 engagementπŸŒ‰ Join us in SF for a meetup on building better agents with the agent and code improvement loops. You'll hear talks by @samecrowder, Head of Product at @LangChain, and @nnennahacks, AI Developer Relations Lead at @QodoAI . Sam will walk through the agent improvement loop and how teams use traces as the foundation for continuous improvement. Nnenna will present how Qodo is building agents, their architecture, and how they’re enhancing them using LangSmith. πŸ—“οΈ Wed, April 29 | ⌚ 6 PM | πŸ“ SF (SOMA) RSVP πŸ‘‰ https://t.co/vCr5H38hZS@langchain Β· 33 engagement
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