4d • General discussion
AI Developer Accelerator — Coaching Call - April 14th
AI Developer Accelerator — Coaching Call - April 14
Meeting Purpose
Key Takeaways
- Enterprise AI Strategy: For Microsoft shops, Azure AI Foundry is the recommended path over Copilot Studio, which is seen as a legacy tool. The new Microsoft-Anthropic partnership is expected to bring more advanced, managed agents to the platform.
- Agentic Development: Ty Wells demoed a full user-driven development loop: narrated feedback → AI plan generation → mobile PR review and merge. For RFP scraping, Paul Miller suggested analyzing public meeting minutes for early project signals.
- Idea Generation: To manage the overwhelming number of AI-generated ideas, the group recommended using Andrej Karpathy's "LLM Wiki" prompt to structure conversations in Obsidian, enabling the AI to help prioritize.
- Community Project: Patrick Chouinard is building an open-source project to create a "digital intelligence" from the community's collective knowledge, with a demo planned for the next few weeks.
Topics
Enterprise AI Strategy: Microsoft vs. Google
- Microsoft Stack: Copilot Studio: Not recommended for new agent builds. Its Power Automate-style interface is considered a legacy paradigm. Azure AI Foundry: The preferred path for enterprise development, offering more power and model choice. Anthropic Partnership: The new integration of Claude into Copilot is expected to bring more advanced, managed agents to the platform, making it a space to watch.
- Google Stack: Gemini Pro: Excellent for consumer use cases. Gemini Enterprise: Currently has significant feature parity issues and limitations compared to Pro, making it difficult to use for serious enterprise work.
Agentic Development & Use Cases
- User-Driven Development (Ty Wells): Workflow: User narrates feedback in-app → AI generates a plan → Developer approves/reviews PR via Telegram. Key Feature: The recording widget captures console logs, providing critical debugging context.
- RFP Scraping (Alex Rojas): Goal: Build an agent to scrape government RFPs ("tenders") in Mexico. Insight (Paul Miller): Analyze public meeting minutes for early project discussions to get a head start on opportunities. Recommendation (Patrick Chouinard): Use a managed agent service (e.g., Anthropic's) for projects with legal implications, as self-hosted agents carry higher risk.
- Event Management Platform (David): Functionality: AI-powered platform for event planners. Process: User describes event → AI suggests vendors → Platform sends automated RFQs and negotiates. Demo: Scheduled for next week.
Tools & Techniques
- LLM Wiki (Andrej Karpathy's Gist): Purpose: Structure raw AI conversations into a navigable wiki in Obsidian. Benefit: Enables the AI to help prioritize ideas and find market value. Patrick's Use Case: Using a modified version as a preprocessor for RAG databases to enrich metadata before chunking.
- Ghost Database: Description: A free, CLI-only Postgres database designed for agents to programmatically create, load, and destroy schemas. Alternative (Patrick Chouinard): For portable RAG, LensDB is preferred as it can be packaged directly with an application.
- Tablet Peripheral Solution (Ty Wells): Problem: Avoid expensive, proprietary hardware peripherals (e.g., signature pads). Solution: Use a low-cost tablet (e.g., Fire tablet) to take over a session for specific tasks (e.g., signature capture, check-in).
Business & Career Insights
- Finding High-Value Use Cases: Method: Instead of asking for problems, ask clients about their most painful, time-consuming, and unavoidable tasks. Rationale: Solving these pain points creates immediate value and builds trust.
- The New SDLC: Shift: Developers are becoming "markdown developers," focusing on strategy and managing AI agents rather than writing code. Example: Patrick's team used Claude Code as a "USB stick" to transfer context between developer instances, solving a bug via inter-agent communication.
- Presidential AI Challenge (Elijah Stambaugh): Elijah and his son won the Ohio state challenge. Project: An N8N automation with Google Gemini 2.5 Flash that creates personalized lesson plans from a standard plan and a student's interest inventory. Status: Pitching for the regional win, with a potential trip to the White House and a $30,000 prize ($10k each for Elijah and his son, $10k for the school).
Next Steps
- David: Demo the event management platform next week.
- Morgan Cook: Demo the completed NDA project once cleared.
- Alex Rojas: Evaluate Anthropic's Managed Agents for the RFP scraping project.
- Patrick Chouinard: Demo the community intelligence project in the next 1-2 weeks.
- Patrick Chouinard: Schedule Brendan for a future call and announce it on the community site.
Action Items
- Review Anthropic Managed Agents for RFP/tender use case - WATCH (5 secs)
- Present RFQ/negotiation system demo next week - WATCH (5 secs)
- Set up Obsidian LLM Wiki w/ Andrej Karpathy gist - WATCH (5 secs)
- Clear NDA; share released project w/ group next week - WATCH (5 secs)
- Review Ghost CLI Postgres for agents - WATCH (5 secs)
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AI Developer Accelerator — Coaching Call - April 14th
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