# AI Assistant Related Articles

HTX News Center provides the latest articles and in-depth analysis on "AI Assistant", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

What Should You Do First with Claude Fable 5? Give Your Code Repository a Comprehensive Checkup

Title: "What You Should Do First with Claude Fable 5: A Comprehensive Audit of Your Codebase" This article introduces a powerful use case for the newly released Claude Fable 5 AI model (June 2026), which is positioned for long-cycle software engineering tasks. It presents a detailed "Audit and Project Improvement" prompt template that transforms the AI from a mere code-writing assistant into a systematic "engineering audit and project improvement collaborator." The core recommendation is to apply this prompt to important code repositories. The prompt guides the AI, acting as a world-class principal engineer, through a rigorous four-stage audit process: 1. **Discovery & Mapping:** Systematically explore the repository to understand its structure, tech stack, purpose, and existing conventions before forming conclusions. 2. **Evidence-Based Audit:** Critically examine specific dimensions—architecture, code quality, security, testing, performance, dependencies, devops, and documentation—citing concrete file paths and line numbers for each finding, and rating their severity. 3. **Improvement Strategy:** Synthesize audit findings into 3-5 key thematic issues, propose target states with underlying principles, and define measurable completion criteria. 4. **Detailed Task Plan:** Break down the strategy into actionable tasks with titles, affected areas, acceptance criteria, effort estimates (S/M/L/XL), risk assessment, and dependencies. Tasks are organized into prioritized milestones (Security Net, Critical Fixes, High-Leverage Improvements, Quality Polish) and quick wins are highlighted. The final output is a consolidated report including an Executive Summary with a health grade, the Repo Map, Audit Report, Improvement Strategy, Task Plan, and Open Questions for human decision-makers. The prompt emphasizes evidence over speculation, respects project maturity, and focuses analysis on the core 20% of the codebase.

marsbit4h ago

What Should You Do First with Claude Fable 5? Give Your Code Repository a Comprehensive Checkup

marsbit4h ago

Deconstructing the Ambition Behind Surf's Funding: It Aims to Become the "Data Hub" of the Crypto AI Ecosystem

Surf, an AI assistant designed for crypto researchers and traders, has raised $15M in funding. It integrates a wide range of crypto-native data sources—including 40+ blockchains, 100K+ KOLs, and 200+ technical indicators—to deliver structured reports in minutes, significantly reducing the workload of traditional analysts. The platform has seen rapid adoption, reaching 80% of top institutions within just five months, with monthly growth of 50% and ARR in the millions. The round was led by Pantera Capital, with participation from Coinbase Ventures and DCG, signaling strong VC confidence in vertical AI tools within crypto. Looking ahead, Surf aims to evolve from a research tool into a foundational data infrastructure for the AI agent ecosystem. By offering its capabilities via API, it could serve not only human users but also autonomous agents, especially with the emergence of agent payment networks like x402, greatly expanding its commercial potential.

marsbit12/11 11:04

Deconstructing the Ambition Behind Surf's Funding: It Aims to Become the "Data Hub" of the Crypto AI Ecosystem

marsbit12/11 11:04

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