XHawk 0.99

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XHawk 0.99 is an AI-native development platform designed to transform coding sessions and code into a centralized, searchable system of engineering knowledge. By automatically capturing AI session histories and mapping agent reasoning directly to git commits, XHawk creates a living knowledge base that bridges the gap between human developers and autonomous coding agents. This approach eliminates "context debt" and prevents AI hallucinations, ensuring that every code change is accompanied by a clear record of intent and rationale. Key Features and Functionality: - Session Intelligence: The XHawk Command Line Interface (CLI) integrates seamlessly into the developer's terminal environment, monitoring AI coding sessions and syncing session history and agent reasoning with each git push. This process establishes a bi-directional link between code changes and the logic behind them, providing a searchable audit trail for every pull request. - AI-Native Context Platform: Serving as a robust context layer, XHawk supports the Model Context Protocol (MCP), enabling standardized backend support for various agents, including Claude, Cursor, Aider, and Copilot. This shared context layer facilitates agent-to-agent collaboration, allowing multiple agents to work on a single codebase while maintaining awareness of architectural decisions and design patterns. - Code-to-Doc Intelligence and Learning Paths: XHawk automatically converts code changes and session data into concise, agent-readable documentation, such as AGENTS.md and ARCHITECTURE.md. These dynamic "Learning Paths" assist new developers in quickly understanding complex features and provide coding agents with the specific context needed, reducing token consumption and enhancing accuracy. Primary Value and Problem Solved: XHawk 0.99 addresses the challenges of context drift and AI hallucinations in the software development lifecycle. Traditional AI coding tools often lose context between sessions, leading to inaccurate code suggestions incompatible with existing architectures. By providing long-term memory through a verified knowledge graph of the entire codebase, XHawk ensures that both human developers and AI agents have access to consistent and accurate context. This capability enhances collaboration, accelerates development processes, and reduces the likelihood of errors, ultimately leading to more reliable and efficient software delivery.