PitWall A.I. — AI Agent System Technical Documentation
> **Autonomous Multi-Agent System for Real-Time Race Analytics and Strategy Optimization**
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> **Autonomous Multi-Agent System for Real-Time Race Analytics and Strategy Optimization**
Implemented the ability to resume finished agents **and agents that hit errors** by sending them a message. Previously, when an agent finished or hit an error (like rate limits), it would completely stop and could not be resumed. Now, these agents wait for user messages and can continue their work.
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This guide covers all methods to assign GitHub Copilot Coding Agents to RFC implementation issues, from manual assignment to fully automated workflows.
Your agents are currently **IDLE** because they haven't been added to a flow yet. Here's how to get them working:
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> Learn how to build autonomous AI agents, monitor and optimize their performance using Helicone's Sessions.
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- **Type**: Persons
David Allen’s **Getting Things Done (GTD)** is a productivity methodology built on five pillars: **Capture, Clarify, Organize, Reflect, and Engage**. In a human context, GTD helps individuals manage tasks and commitments with clear mind and reliable systems. In a **fully autonomous AI-operated organ
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Beyond text, image, audio, or video generation from direct user prompts, AI agents based on generative AI
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**Table of Contents**
This guide provides a practical, hands-on introduction to the **Agent Council** and the **`@thinkies` orchestrator**. This system is designed for users who want to leverage the cognitive power of the INDRA ecosystem using natural language, without needing to write or understand the INDRA protocol it
Accelerate delivery of West‑Africa‑first WordPress plugins and tooling by generating secure, performant, offline‑capable code and documentation that conforms to Starisian standards.
Accelerate delivery of West‑Africa‑first WordPress plugins and tooling by generating secure, performant, offline‑capable code and documentation that conforms to Starisian standards.
- [Remix](https://remix.run)
vhybZ is an AI-powered platform designed to help creators easily build and share interactive digital artifacts. This document outlines the system architecture, design decisions, and implementation details for the vhybZ backend and frontend components in this monorepo.
*Last updated 2025-06-09*
- `lib/` hosts the core SeasarBatis library (`src/main/java` for Java sources, `src/main/resources` for MyBatis configs such as `mybatis-config.xml`, and `src/test` for fixtures under `resources/sql`).
Use Node.js 18 or newer and install dependencies with `pnpm` (enforced by `preinstall`). Run `pnpm install` from the repo root to link workspace packages and set up local post-install patches via `tw-patch`.
- Full FastAPI experience lives in `web_apps/vocabulary_web_app.py`; run it from repo root so `templates/` resolves correctly. Avoid `simple_vocab_app.py` except for historical reference.