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Hacker News - Newest: "AI"

AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders
GitHub - IntuitDeveloper/Prompt-Library: Collection of pr...
giancarlosto · 2026-06-19 · via Hacker News - Newest: "AI"

Collection of reusable prompts for Intuit developers to use with AI tools.

This library organizes prompts by workflow and topic so you can quickly find, copy, and adapt them in your own development work. The goal of this prompt library is to help you quickly adapt to platform changes and implement new features.


1. What this library is

  • Prompt recipes written in plain Markdown.
  • Organized by workflow/topic, e.g. discovery, change management, migrations, etc.
  • Tool‑agnostic: you can use them with any AI assistant (IDE plugin, chat UI, API, etc.).

2. What's in this repo

Folder What it does When to use it
discover/ Generates AI-ready prompts that produce working integration code for the Intuit Enterprise Suite (IES) Dimensions API and Projects & Estimates API. Configure target language, transaction type, and instructions in prompt-config.json, then run node merge-prompt.js to produce a ready-to-paste prompt. You're building a new (or extending an existing) IES/QBO Advanced integration and want a starting point that uses the right endpoints, payload structures, and error handling.
workflows/webhooks-migration/ Generates a guided migration prompt for moving a QuickBooks Online webhook handler from the legacy payload to the CloudEvents format. Supports Java, .NET, PHP, Node.js, and Python. The generated prompt detects the codebase's current state and routes to the right migration tasks. You have an existing webhook handler that needs to accept the new CloudEvents envelope (or you want to verify your current implementation is correct).

Each folder has its own README with full setup, configuration, and usage details.


3. How to use the prompts (copy/paste)

  1. Browse to a relevant folder
    Pick the workflow or topic that matches what you're trying to do (for example, discovering APIs, managing webhooks, running a migration, etc.).

  2. Open a prompt file
    Read the description at the top to confirm it fits your use case.

  3. Copy the prompt text
    Copy everything under the main "Prompts" (or similar) heading.

  4. Customize placeholders
    Replace any placeholder text (for example: <your app name>, <project id>, <API key>, or bracketed variables) with your own details.

  5. Paste into your AI tool

    • Paste into your IDE assistant, chat UI, or API request body.
    • Add any extra context (code snippets, logs, links) as needed.
  6. Iterate

    • If the response isn't quite right, refine inputs (more context, narrower scope).
    • Save new or refined prompt variants back into this repo if they're reusable.

4. Using prompts locally with @ references

Many AI tools and IDE assistants let you reference local files using @ (for example, @filename or @path/to/file). You can use this pattern with this prompt library.

  1. Get the prompts into your workspace

    • Clone the repo, or
    • Copy the specific .md files you need into your project (for example: prompts/, .prompt/, or any folder your tool can see).
  2. Open your AI tool in the same workspace

    • For IDE assistants, ensure the project that contains the .md prompts is open.
    • For CLI or other tools, point them at the folder where the prompts live.
  3. Reference a prompt with @

    • In your AI chat, type something like:
      • @workflows/webhooks-migration/prompt-template.md
      • or shorter, if your tool supports it: @prompt-template.md
    • The exact syntax depends on your tool, but typically:
      • @file-name → references a file in the repo.
      • @path/to/file.md → references a nested file.
  4. Add instructions on top of the @ reference

    • Example:
      • @workflows/webhooks-migration/prompt-template.md
      • Use this prompt and apply it to my current Java service. Assume Gradle and Spring Boot.
  5. Edit prompts locally if needed

    • Tweak the .md file to better match your app or environment.
    • Re‑run the same @file reference; your tool will pick up the updated content.

Note: Exact @ behavior varies by tool. If @file doesn't work, check your AI/IDE assistant's docs for how it resolves local file references.


5. Best practices

  • Be specific: give concrete details (stack, language, framework, API version).
  • Include context: link or paste relevant code, logs, or docs.
  • Keep scope small: ask for one clear outcome at a time (e.g., "design a migration plan" before "implement everything").
  • Treat prompts as templates: tweak wording to match your own voice and needs.