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Weekly Coaching Call is happening in 6 days
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RecapFlow : October 6th Coaching call analysis
πŸ“ SUMMARY This call captured the community at its best: an informal, rotating mix of peer coaching, technical show-and-tell, and open Q&A where members traded real-world lessons on AI tooling, infrastructure, and side projects. Two big themes ran through the session. First, moving beyond slow sequential LLM loops toward typed, parallel-evaluation models (GEV/JEV via TypeSafe) for classification and judgment tasks, with concrete use cases from council vote tracking to forensic case analysis. Second, building and hardening real products: a security-rebuilt digital signage SaaS, a Supabase-to-Convex migration, an open-source CRM, a HIPAA-sensitive forensic-psychiatry tool, and Patrick's impressive setup deploying Claude-based support skills to ~2,000 enterprise users alongside a self-diagnosing personal agent. Whether you came for the architecture debates, the one-prompt side builds, or the school-event AI booth preview, there was something practical to take away β€” and plenty of the friendly banter that makes these calls worth showing up for. πŸ’‘ KEY INSIGHTS Patrick Chouinard used ChatGPT for an election decision by describing leadership priorities only (not parties) and asking for the government configuration that maximizes them β€” found it "surprisingly accurate." Paul Miller: dual-GPU home servers splitting model loads are cheaper than one large GPU. Paul Miller: for GEV/JEV-type models, best practice is breaking large questions into many small ones routed to appropriately-sized LLMs rather than one big complex prompt. Paul Miller: JEV is useful for categorizing large corpora (e.g., council documents) cheaply to detect votes/topics. Paul Miller: JEV beats a standard loop because it evaluates a batch of typed questions in parallel against the same state in one call β€” no sequential latency and no "context rot" from one question bleeding into another; adding questions barely changes response time. Paul Miller's own approach: "TypeSafe first, then train my own model."
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AI Developer Accelerator β€” Coaching Call - October 6th
AI Developer Accelerator β€” Coaching Call - October 06 VIEW RECORDING - 90 mins (No highlights) Meeting Purpose A weekly sync on AI developer projects, progress, and challenges. Key Takeaways - Ryan launched a major Screenly update: A new interactive marketing site and admin panel with a visualizer that generates custom screen content from a business's website using a built-in crawler. - Andrew is using Jev for a forensic psychiatry app: It rapidly categorizes thousands of pages of records and dynamically generates UIs (e.g., medication timelines) via the A2UI standard. - Patrick's agent, DOTS, autonomously manages infrastructure: It found and fixed a 74GB Olama disk space issue, cleared a stale NPM cache, and recommended hosting honcho.dev locally to cut costs. - Shakur is building Remold, an open-source, LLM-driven CRM: It uses a local T3 server to avoid API costs and is designed to be "remolded" by AI agents for tasks like automated prospecting. Topics Infrastructure & Agent Management - Patrick's Agent Framework Rebuild: - Migrating all projects to a consistent infrastructure, creating a central "Operator" VM for agent task scheduling via NATS events and Invisible for security.
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πŸš€ Welcome to AI Developer Accelerator (Start Here)
πŸ‘‹ Hey there! Ready to supercharge your dev skills with AI? You're in the right place. Watch the intro video below for a walkthrough of our community and a peek at our AI-enhanced future. πŸ›  CLASSROOMS: - Full Stack Development with AI: Where code meets cognition. Sharpen your skills and build AI-- powered apps. - CrewAI: Your squad for all things AI. Share ideas, collaborate on projects, and celebrate successes together. - Code Bugs & Project Issues: Debug like a pro. Get help on tricky bugs and offer your wisdom to others. - Monetize Your AI Dev Skills: From AI code to income: Collaborate, innovate, and monetize your dev skills! - YouTube Tutorial Requests: Please let me know what you want to learn more about when it comes to Fullstack Developement and AI. πŸ“œ RULES: - Promotions are a no-no. Let's keep the focus on learning and growing. - We appreciate quality contributions. Enhance your posts with visuals and use ChatGPT for refining your content. - No talking about politics or religion. Go to X if you want to talk about that. - See something off? Help us maintain the community spirit by reporting any issues to me. πŸ₯‡ FIRST STEP: Introduce yourself with a post about your AI journey and what you're working on in the General Discussion group. **Bonus points for sharing a screenshot of your current app!** 🎯 ACTIONS: Be proactive, engage in discussions, and collaborate on group projects. πŸ‘©β€πŸ’»πŸ‘¨β€πŸ’» Let's code, innovate, and thrive together!
Tight Code: AI code review before your code leaves your Mac
I talked about the soft launch of Tight Code during Brandon Hancock’s developer call last night. Tight Code reviews your code every time you run git push. It works directly with Claude Code, so there’s no new editor or workflow to learn. Here’s what happens:​ 1. You push your code normally. 2. Tight Code scans the changes for secrets and redacts anything sensitive. 3. Multiple AI reviewers check security, code quality, performance, documentation, and release readiness. 4. One verdict and a clear list of findings appear in the dashboard. 5. Claude Code helps you work through each findingβ€”but you approve every decision. It can run quietly in the background or stop a push when it finds something critical. If an AI provider is unavailable, it fails open so your work isn’t trapped. What makes it different:​ - It reviews at push time, not only when you open a pull request. - It uses Anthropic and OpenAI models for independent perspectives. - Secrets are removed before any AI model sees the code. - Your source code is never stored in the dashboard. - It remembers why you dismissed something as a false positive, so the same bad recommendation doesn’t keep returning. - It works with the Claude Code and Codex subscriptions you already have. So far, Tight Code has run 1,176 real reviews across 19 repositories, raised 2,157 findings, and caught 96 critical issues. About 92% of its findings were fixed, while only 8% were judged to be noise. The stack, for anyone interested:​ - A local Homebrew-installed Git hook and CLI - Claude Code with optional OpenAI Codex reviewers - A Next.js and TypeScript dashboard hosted on Vercel - Supabase for review history and reporting - Stripe for subscriptions - No source code or unredacted secrets stored in the cloud See the video, sign up, and install it:​ https://tightcode.dev Tight Code is normally $39/month. Brandon’s community can use code BRANDON20 to take $20 off each of the first three months, making it $19/month for those three months.
Tight Code: AI code review before your code leaves your Mac
AI Developer Accelerator β€” Coaching Call - October 6th
Last week's call was a marathon β€” OpenAI Dev Day breakdowns, Brandon's self-running SDLC workflow, and a $400 vs. $4 data-enrichment cost comparison that made everyone rethink their model choices. If you missed it, you missed Patrick predicting Anthropic's next move and Scott demoing a code-review tool that's caught issues across 2,000+ pushes. The recordings of our memories don't exist, but the momentum does β€” and this week we keep it rolling. πŸ“ž HOW THE CALLS WORK The calls can run 2+ hours. We want to make sure we're respecting everyone's time. Especially those of you who actually show up. Here's the structure: πŸ‘‰ Reply to this post with your questions before the call πŸ‘‰ If you submit a question and you're on the call, you go first πŸ‘‰ We work through questions in the order they came in πŸ‘‰ Then we open it up for everyone else If you can't make the call but want your question answered, drop it in the comments. We'll get to it. But priority goes to people who are there. The goal is simple: if you're taking the time to show up, you shouldn't have to wait behind questions from people who aren't even on the call. Plenty of threads worth picking back up: Juan's Halloween launch window is ticking down, so if you've got cold-outreach or pricing war stories, bring them. Brandon promised to share his "Deep Plan" and "Deep Proof" skill files β€” a great nudge if you want a copy. And Patrick's Anthropic-predicts-an-ambient-agent-in-two-weeks clock is still running... we should check the scoreboard. πŸ”— ZOOM LINK (save this) https://us06web.zoom.us/j/81995207847?pwd=Xe6u6LmIQOmCP5VTnOwWYjDBfZNKGB.1 πŸ“… WHEN Tuesday October 6th at 6PM ET Looking forward to seeing you on the call!
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AI Developer Accelerator
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Master AI & software development to build apps and unlock new income streams. Transform ideas into profits. πŸ’‘βž•πŸ€–βž•πŸ‘¨β€πŸ’»πŸŸ°πŸ’°
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