AI Developer Accelerator
Log In
Community
Classroom
Calendar
Members
Leaderboards
About
Log In
5
Patrick Chouinard
3d •
General discussion
AI Developer Accelerator — Coaching Call - September 22th
AI Developer Accelerator — Coaching Call - September 22
VIEW RECORDING - 111 mins (No highlights)
Meeting Purpose
Review new AI models, developer tools, and ongoing projects.
Key Takeaways
New Models Released: Opus 5.5 (strong coding), GPT-6 Sol (half-price workhorse), and GPT-6 Luna (fast, cheap tool-use).
T3 Code Adopted: The meta-harness for orchestrating multiple agents (Claude Code, Codex) is gaining adoption for its server-based isolation and mobile client.
Shared Memory Solved:
Honcho.ai
provides a cheap, LLM-curated vector store for persistent, cross-harness memory, addressing a key developer pain point.
Jev for Routing: Jev is emerging as a fast, cheap alternative to LLMs for model routing and real-time decision-making, enabling significant cost savings.
Topics
New Model Releases & Performance
Opus 5.5: A significant leap over Opus 5, now scoring higher than Fable.
Constraint Following: Shakur tested it by asking it to build a website and report token usage, which it did (3,000 tokens).
Limitation: Inherits Fable's safety guardrails, downgrading to Opus 4.8 for sensitive topics.
GPT-6 Sol: A strong workhorse model at half the price of its predecessor.
GPT-6 Luna: A small, fast, and cheap model for tool use and operator tasks.
Performance: Approaches Sonnet/Terra intelligence levels at a fraction of the cost.
Application: Patrick plans to use it for his Sentinel security agent.
Anthropic Token Resets: A global reset was issued for Codex and Claude Code subscriptions. Users can also request a one-time token refresh.
Developer Tools & Workflows
T3 Code (Meta-Harness): An orchestration layer for multiple agents (Claude Code, Codex, Grok).
Key Features:
Orchestration: Manages multiple agents, enabling them to pass messages and collaborate.
T3 Servers: Deployable in isolated VMs (e.g., Proxmox) for secure dev, staging, and prod environments.
Mobile Client: Full functionality with TailScale integration for remote access.
Adoption: Paul and Shakur are using it; Ty is forking it to replace his CMUX setup.
Honcho.ai
(Shared Memory): A vector store with a small LLM for curating memory.
Purpose: Provides persistent, cross-harness memory, solving the problem of context loss between projects.
Cost: Extremely low; Patrick has used only $30 of a $100 credit in six months.
Integration: Has a native connector for Hermes.
Jev (Routing & Decision-Making): A fast, cheap alternative to LLMs for routing and real-time decisions.
Application: Ideal for model routing (cost savings) and real-time financial transactions.
Resource: Nate B. Jones's videos were recommended for learning more.
Project Updates & Learnings
Shakur's Open-Source CRM:
Tech Stack: TypeScript, Convex backend, AI-first native design.
Goal: A flexible, modular CRM for managing AI projects, with plans for T3 Code integration.
Collaboration: Paul offered to help with Office 365 integration.
Ty's "Island Flow" ERP & Fishing Resort:
ERP: Launched last week; pre-discovery forms are live and bookings are coming in.
Resort: A fly-in fishing resort in the Exuma Keys, targeting a March 2027 launch.
Goal: Create a local economic ecosystem ("everybody eats").
Elijah's Harness Development:
Progress: Migrated to Heroku/Postgres with database sharding.
Inspiration: Studying Muse's simple UX and Zite (an Airtable competitor).
Client Project: Building a ShipKit RAG app for an oil industry client.
Daniel's AI SDLC Presentation:
Topic: An "AI-native SDLC playbook" for a mixed audience of product managers and developers.
Insight: Professionals should specialize in either product management (planning) or evaluation (QA).
Upcoming Meetups:
Oct 30: Kieran (Compound Engineering) on framework updates.
Next Friday: DSPy authors on monitoring and self-correction.
Patrick's Hermes Strategy:
Methodology: Decomposing a monolithic agent into specialized profiles to reduce context load and cost.
Profile Examples:
Clara (Base): Manages other agents and interfaces with Patrick.
Beacon (Researcher): Gathers raw info.
Forge (Builder): Handles development.
Anchor (Operations): Manages infrastructure.
Sentinel (Security): A new, air-gapped agent on a separate server to find CVEs and vulnerabilities.
Workflow: Uses ChatGPT for verbal brainstorming → custom MCP creates a GitHub issue → specialized Hermes agents execute the work.
Next Steps
Ty: Fork T3 Code to replace the CMUX setup.
Daniel: Explore
Honcho.ai
for shared memory and promote the upcoming Serverless Toronto meetups.
Shakur: Continue developing the open-source CRM and evaluate Jev for routing.
Paul: Share the T3 Code orchestrator approach in the web forum.
Elijah: Continue development and explore enterprise harness options from Mark Kashif.
Patrick: Investigate Jev for model routing and real-time decision-making.
Action Items
Post T3 Code orchestrator approach in web forum -
WATCH (5 secs)
Install T3 Code; evaluate 'Add action' and Proxmox server -
WATCH (5 secs)
Share
Honcho.ai
and T3 Code links in chat -
WATCH (5 secs)
Share Anthropic AI-native SDLC playbook link in chat -
WATCH (5 secs)
Share Nate B. Jones Jev prompts for codebase inspection next week -
WATCH (5 secs)
Review Mark Kashif enterprise-harness recording; evaluate approach -
WATCH (5 secs)
Confirm Brendan as next week's speaker -
WATCH (5 secs)
Like
1
0 comments
5
AI Developer Accelerator — Coaching Call - September 22th
AI Developer Accelerator
skool.com/ai-developer-accelerator
Master AI & software development to build apps and unlock new income streams. Transform ideas into profits. 💡➕🤖➕👨💻🟰💰
11.4k
Members
46
Online
8
Admins
JOIN GROUP
Leaderboard (30-day)
1
Lucas Lim
+7
2
Scott Rippey
+6
3
Ali BabaStudios
+3
4
Daniel Zivkovic
+2
5
Takeichi Inoue
+2
See all leaderboards
Powered by