Showing 4 open source projects for "asterisk-java"

View related business solutions
  • Custom VMs From 1 to 96 vCPUs With 99.95% Uptime Icon
    Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

    General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

    Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
    Start Free
  • Go from Code to Production URL in Seconds Icon
    Go from Code to Production URL in Seconds

    Cloud Run deploys apps in any language instantly. Scales to zero. Pay only when code runs.

    Skip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
    Start Free
  • 1
    DevoxxGenie

    DevoxxGenie

    DevoxxGenie is a plugin for IntelliJ IDEA that uses local LLM's

    Devoxx Genie is a fully Java-based LLM Code Assistant plugin for IntelliJ IDEA, designed to integrate with local LLM providers such as Ollama, LMStudio, GPT4All, Llama.cpp, and Exo but also cloud-based LLMs such as OpenAI, Anthropic, Mistral, Groq, Gemini, DeepInfra, DeepSeek, OpenRouter and Azure OpenAI.
    Downloads: 7 This Week
    Last Update:
    See Project
  • 2
    paicoding

    paicoding

    A user-friendly and powerful open source community

    paicoding is an open-source community platform built as a practical Java project for publishing and discovering technical content. Its stack includes Spring Boot, MyBatis-Plus, MySQL, Redis, Elasticsearch, MongoDB, RabbitMQ, and Docker. The application supports complete workflows for publishing, searching, commenting on, and measuring articles and tutorials. Its modular structure separates shared models, reusable components, business services, frontend resources, and web entry points. ...
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    Brokk

    Brokk

    Brokk brings code intelligence to AI

    Brokk is a code intelligence assistant framework designed to let large language models (LLMs) understand code semantically (not just as raw text) so that they can work effectively on large codebases that don’t fit wholly in a prompt context. It helps bridge the gap between LLMs and real-world engineering code by offering tooling to index, analyze, query, and augment code context, so that AI can meaningfully reason about existing code, suggest edits, and navigate across projects. Modular...
    Downloads: 2 This Week
    Last Update:
    See Project
  • 4
    DeepCode for Visual Studio Code

    DeepCode for Visual Studio Code

    DeepCode extension for Visual Studio Code

    DeepCode AI has always been the backbone of Snyk code, which is why it's the fastest, most accurate SAST on the market. DeepCode AI, powering the Snyk platform, utilizes multiple AI models, is trained on security-specific data, and is all curated by top security researchers to give you all the power of AI without any of the drawbacks. With 11 supported languages, and multiple AI models, Snyk's DeepCode AI was designed to find and fix vulnerabilities and manage tech debt. DeepCode AI powers...
    Downloads: 1 This Week
    Last Update:
    See Project
  • Build Securely on AWS with Proven Frameworks Icon
    Build Securely on AWS with Proven Frameworks

    Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

    Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
    Download Now
  • Previous
  • You're on page 1
  • Next