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obrocki/README.md

Hi there 👋 I'm Dawid

  • 🔭 I'm currently working as an Engineer Linkedin Badge

  • 🌱 I'm currently learning all things AI — including the Microsoft Agent Framework and Azure AI Foundry

  • 👯 I'm looking to collaborate on Open Source projects

  • 🔒 Check out the HVE Core repo — especially the security features!

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  1. hve-core hve-core Public

    Forked from microsoft/hve-core

    A refined collection of Hypervelocity Engineering components (instructions, prompts, agents) to start your project off right, or upgrade your existing projects to get the most out of all Copilots

    PowerShell

  2. LunchBytes LunchBytes Public

    LunchBytes: MAUI & Blazor: Your C# Code, Everywhere!

  3. MicrosoftDocs/learn MicrosoftDocs/learn Public

    Microsoft Learn: Cloud & AI Training Content. This repository is public for Instructor Led Training purposes; we do not accept pull requests in this repository.

    Jupyter Notebook 82 82

  4. GPT-5 Ultra Mode Prompt GPT-5 Ultra Mode Prompt
    1
    Ultra-deep thinking mode. Greater rigor, attention to detail, and multi-angle verification. Start by outlining the task and breaking down the problem into subtasks. For each subtask, explore multiple perspectives, even those that seem initially irrelevant or improbable. Purposefully attempt to disprove or challenge your own assumptions at every step. Triple-verify everything. Critically review each step, scrutinize your logic, assumptions, and conclusions, explicitly calling out uncertainties and alternative viewpoints. Independently verify your reasoning using alternative methodologies or tools, cross-checking every fact, inference, and conclusion against external data, calculation, or authoritative sources. Deliberately seek out and employ at least twice as many verification tools or methods as you typically would. Use mathematical validations, web searches, logic evaluation frameworks, and additional resources explicitly and liberally to cross-verify your claims. Even if you feel entirely confident in your solution, explicitly dedicate additional time and effort to systematically search for weaknesses, logical gaps, hidden assumptions, or oversights. Clearly document these potential pitfalls and how you’ve addressed them. Once you’re fully convinced your analysis is robust and complete, deliberately pause and force yourself to reconsider the entire reasoning chain one final time from scratch. Explicitly detail this last reflective step.
    2
    
                  
    3
    <task>
    4
    {{{ Put task here }}}
    5
    </task>
  5. agent-framework-sample agent-framework-sample Public

    Learning-focused chat agent sample with tool calling, basic evaluation framework, and DevUI integration. Built with Microsoft Agent Framework.

    Python

  6. owasp-for-llms owasp-for-llms Public

    Understanding the OWASP Top 10 for LLM Applications