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iryna_kondr

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  1. Show HN: The platform layer for agentic ML engineering (github.com)
    4 points 0
  2. Ask HN: What are your strategies for reviewing AI generated code?

    Almost everyone I talk to feels the pain of reviewing code generated with LLMs. It feels like humans have become the bottleneck in the development process. Some teams are setting guardrails, like limiting PR size or…

    1 points 0
  3. Show HN: Self-improving skills for any coding agent (github.com)
    3 points 0
  4. Dreamer: Make any coding agent self-evolving, across the whole team (github.com)
    5 points 2
  5. Show HN: AGENTS.lock – a package manager for Agents/Skills/MCPs (github.com)

    AGENTS.lock keeps AI agent skills, instructions, and MCP servers in sync across Claude, Codex, Gemini, and Copilot CLIs using a single TOML lockfile as the source of truth. Instead of manually copying skills and configs…

    6 points 0
  6. Show HN: Dingo: Rapid Prototyping of RAG-Powered Applications (dingo.beastbyte.ai)
    2 points 0
  7. Show HN: Scikit-LLM seamlessly integrate LLMs into scikit-learn (github.com)

    Scikit-LLM is an open-source library that allows to seamlessly integrate powerful language models like ChatGPT into scikit-learn for enhanced text analysis tasks.

    3 points 0
  8. Show HN: Agent Dingo – a microframework for buildling conversational AI agents (github.com)

    AgentDingo allows you to register the functions to use with ChatGPT. It is possible to convert Langchain Tools into function descriptors in order to register them with Dingo. The intermediate function calling is also…

    2 points 0