Zellij
zellij.devOrganize terminal sessions into panes and layouts, then reconnect to a named workspace later.
Organize terminal sessions into panes and layouts, then reconnect to a named workspace later.
Scans source code for security issues and gives teams a place to review findings.
Organize and query industrial IoT time-series data across device and sensor paths.
A dynamic programming language with an interactive development workflow and a JVM-based library ecosystem.
Keep Kubernetes applications in sync with their declared configuration in Git.
Create standalone Spring applications with auto-configuration and an executable application package.
Build customer-facing integrations with managed authentication, API access, syncs, webhooks, and TypeScript functions.
The Dart SDK supplies libraries and command-line tools for Dart web, server, and command-line apps.
A Java code-coverage library that records which instructions, lines, and branches run during tests.
Mutate Python code and rerun its tests to find changes the suite fails to catch.
A Rust framework for building web, desktop, and mobile apps from a shared codebase.
Build, test, and deploy applications on Windows, Linux, or macOS build machines.
Render data-driven text and HTML from reusable templates with Python-inspired syntax.
Collect, process, and route logs, metrics, and traces with a lightweight telemetry agent.
Collect automated test results in one place and analyze failures across test runs.
Build and debug Ruby and Rails projects in a dedicated JetBrains IDE.
Retrieve current conditions, forecasts, history and location data through one weather-focused REST API.
Launch and connect to configurable virtual servers in AWS regions.
Design mobile app screens in a browser and program their behavior by assembling visual blocks.
Build and test software from declared targets and dependency graphs across multiple languages.
Orchestrate Terraform and OpenTofu projects while reusing configuration across infrastructure units.
Use Kubernetes-focused AI SRE agents to investigate incidents and act on existing operational context.
Centralize application and infrastructure logs for search, monitoring, and troubleshooting in a managed cloud analytics service.
Monitor service health, performance, and availability across managed datacenter and hybrid workloads.