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Showing 6 open source projects for "code::block"
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AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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Find Hidden Risks in Windows Task SchedulerWindows Task Scheduler might be hiding critical failures. Download the free JAMS diagnostic tool to uncover problems before they impact production—get a color-coded risk report with clear remediation steps in minutes.
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OpenCode
A powerful AI coding agent. Built for the terminal.
...It supports multiple AI providers, including OpenAI, Anthropic Claude, Google Gemini, AWS Bedrock, Groq, Azure OpenAI, and GitHub Copilot. Developers can use it for intelligent code completion, debugging, file editing, and session management while staying entirely within their terminal environment. With support for the Language Server Protocol (LSP), OpenCode enhances code intelligence across multiple languages. Although archived, the project has evolved into Crush, actively maintained by the Charm team. -
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AIaC
Artificial Intelligence Infrastructure-as-Code Generator
aiac is a command line tool to generate IaC (Infrastructure as Code) templates, configurations, utilities, queries and more via OpenAI's API. The CLI allows you to ask the model to generate templates for different scenarios (e.g. "get terraform for AWS EC2"). It will make the request, and store the resulting code to a file, or simply print it to standard output. By default, aiac uses the same model used by ChatGPT, but allows using different models. -
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AWS Copilot CLI
The AWS Copilot CLI is a tool for developers to build, release apps
AWS Copilot is an open-source command-line interface that makes it easy for developers to build, release, and operate production-ready containerized applications on AWS App Runner, Amazon ECS, and AWS Fargate. Run a single command to quickly get started with a containerized application using best practices on AWS from a Dockerfile. Instead of modeling individual resources, Copilot provides common cloud architectures, request-driven web service, load-balanced web service, backend service,... -
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Qwen2.5-Coder
Qwen2.5-Coder is the code version of Qwen2.5, the large language model
Qwen2.5-Coder, developed by QwenLM, is an advanced open-source code generation model designed for developers seeking powerful and diverse coding capabilities. It includes multiple model sizes—ranging from 0.5B to 32B parameters—providing solutions for a wide array of coding needs. The model supports over 92 programming languages and offers exceptional performance in generating code, debugging, and mathematical problem-solving. -
Atera all-in-one platform IT management software with AI agentsAtera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
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Reviewpad
Next generation pull requests and issues
Reviewpad is a service to automate pull requests and issues workflows. The workflows are specified in a YML-based configuration language described in the official documentation. In Reviewpad, you can automate actions over the pull requests and issues. With technological progress depending on the human ability to create and modify software systems, Reviewpad was founded to allow developers to safely contribute to any codebase as fast as possible. Developers deserve a better experience and... -
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Kite
Primary Kite repo, private bits replaced with XXXXXXX
The main Kite repo (originally kiteco/kiteco) was intended for private use. It has been lightly adapted for publication here by replacing private information with XXXXXXX. As a result, many components here may not work out of the box. We used a variety of infrastructure, on a mix of cloud platforms, depending on what was most economical, though it was mostly on AWS. You should be able to develop, build, and test Kite entirely on your local machine. However, we do have cloud instances & VMs...
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