Mobile IDE Launches, Ships Code from Phone
Today's curated insights on AI product management from X/Twitter across 60+ expert sources and YouTube channels.
Mobile IDE Launches, Ships Code from Phone
From X
AI Product Launches & Updates
Mobile IDE launch: There’s An AI For That @theresanaiforit introduced ligma, the first serious agentic mobile IDE to ship code from your phone with PR integration, diff viewer, full terminal & multi-session support.
Image processing model update: Qwen @Alibaba_Qwen announced Qwen3-VL-235B-A22B-Instruct now holds a 48% market share as the #1 model on OpenRouter for image tasks.
New AI image model: Mustafa Suleyman @mustafasuleyman unveiled MAI-Image-1, Microsoft’s third AI image model, ranking #9 on LMArena for its blend of speed & quality.
AI Tools & Applications
nanochat release: Andrej Karpathy @karpathy released nanochat, a minimal end-to-end ChatGPT clone pipeline in ~8K lines, built for quick experimentation and tunable performance.
AI Studio dashboard update: Logan Kilpatrick @OfficialLoganK shipped a redesigned rate limit & usage page in Google AI Studio, making it 10x easier to track project quotas in real time.
Open-source model tooling: Clement Delangue @ClementDelangue highlighted that open-source stacks like Hugging Face’s fineweb dataset now make it simpler to train, optimize & run custom models without black-box APIs.
Product Management Insights & Strategies
Setting roadmap bets: George @nurijanian outlined the 70-20-10 rule for courageous roadmaps: 70% core improvements, 20% adjacent experiments, 10% transformative bets.
PM value reminder: Madhu Guru @realmadhuguru emphasized that Product Managers are paid for building products customers love, not for writing PRDs.
Habits shape AI adoption: Lenny Rachitsky @lennysan shared that this year’s AI products will establish user habits that last for years, reflecting the rapid habit formation seen with tools like ChatGPT.
AI Industry Developments & News
In-house AI hardware: OpenAI @OpenAI announced the move to design proprietary chips, bringing frontier model insights directly into hardware to meet growing AI demand.
US AI investment: Sundar Pichai @sundarpichai revealed a $9B+ investment in South Carolina by 2027 as part of Google’s strategy to deepen American AI innovation.
AI adoption bubble: Guillermo Rauch @rauchg argued that the real “bubble” is widespread overestimation of AI deployment, while the ceiling for applications remains insanely high.
From YouTube
FREE Ivy League Courses Online: Harvard, MIT, Yale & More!
Helena Liu • October 13, 2025
Helena Liu compiles direct URLs and search methods to enroll in free Ivy League courses—spanning Harvard’s CS50 series, MIT OpenCourseWare, and Yale courses on Coursera—and explains how to earn certificates and showcase them on LinkedIn.
Key Takeaways:
- Harvard’s CS50 Introduction to Computer Science, CS50’s Introduction to Programming with Python, and CS50 AI are freely available at cs50.harvard.edu/x, /hython, and /ai, with optional HarvardX certificates on edX costing $100–600.
- MIT’s OpenCourseWare provides free lectures and assignments for courses such as 6.01 (Intro to Programming with Python), 6.036 (Introduction to Machine Learning), and 18.657 (Mathematics of Machine Learning) without a certificate option.
- Coursera offers Ivy League courses like Yale’s Financial Markets and Andrew Chan’s Introduction to Artificial Intelligence and Machine Learning under a $50–100/month subscription, allowing unlimited certificates that can be added to LinkedIn’s Licenses & Certifications or Courses sections.
My AI Videos Hit 1M+ Views (Veo3 + Sora 2 Demo)
Greg Isenberg • October 13, 2025
Greg Isenberg sits down with PJ Ace of Genre AI to break down his full viral AI ad workflow—from scriptwriting and ChatGPT-powered shot lists to image generation in Rev, animation in Veo3, and final editing—using real campaigns like a 230M-view Beckham spot and a 2M-view Origin Financial ad.
Key Takeaways:
- PJ Ace’s five-step process includes scripting in Google Docs, converting scripts to detailed shot lists via ChatGPT, generating scene images in Rev, animating clips in Veo3’s frames-to-video, and assembling in editors like Premiere or CapCut.
- The Origin Financial AI ad, which uses public domain IP (Pompeii, Titanic), comedic juxtapositions of bad financial advice (Beanie Babies, Enron, meme coins), and a brief brand mention, achieved over 2 million views.
- Veo3 (V3) currently offers the best talking character animations and built-in sound effects, while custom music tracks are sourced from services like Epidemic Sound to ensure cohesive audio across AI-generated clips.
Evals, error analysis, and better prompts: A systematic approach to improving your AI products
How I AI Podcast • October 13, 2025
In this episode, Claire Vo and AI consultant Hamel Husain demonstrate a step-by-step method for boosting AI product quality by logging real user “traces,” manually open-coding to identify upstream errors, and then building validated, task-specific evaluations and refined prompts or fine-tunes to fix the highest-impact issues.
Key Takeaways:
- Hamel recommends capturing detailed multi-turn AI interactions (“traces”) and spending a few hours open-coding ~100 samples to pinpoint the earliest upstream errors like vague user intent or incorrect tool calls.
- After annotation, categorize and count error types—such as transfer/handoff failures and tour scheduling mistakes—to create a prioritized list of issues that will yield the biggest quality gains when addressed.
- Develop binary, problem-specific evals (code-based for deterministic checks and LLM-judge for subjective cases), validate the judge’s outputs against hand-labeled data, then iteratively improve system prompts or fine-tune on high-signal failure examples.