blume
Blume is a desktop sidecar for AI coding agents that helps developers see what every agent is doing, keep project context consistent, and catch drift before it reaches the codebase. It works with tools including Cursor, Claude Code, Codex, omp, and Pi, bringing agent activity, hidden files, skills, hooks, rules, and provider usage into one place. The Agents view shows whether each coding agent is working, finished, or waiting for approval, while Setup exposes the instructions and configuration files shaping agent behavior. Usage tracking shows remaining plan limits and token burn across providers such as Claude, Codex, and Cursor so developers can avoid unexpected interruptions. Blume stores conversation history locally on the device and reviews rules, skills, and hooks on-device. Its Improve workflow looks for repeated signals of friction across conversations, clusters similar issues, and proposes concrete changes such as new rules or reusable skills.
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Gefyra
Building and pushing containers to test them in Kubernetes is repetitive and time-consuming. Writing and debugging code that depends on services in Kubernetes is daunting. Especially if they are not reachable during development.
Gefyra is an Open Source project that runs local code in any Kubernetes cluster without the build and push cycle. It overlays containers in the cluster making code changes immediately available.
Gefyra enables you to:
- Run containers and talk to internal services on an external Kubernetes cluster
- Operate feature-branches in a production-like Kubernetes environment with all adjacent services
- Overlay Kubernetes cluster-internal services with you local container.
- Leverage development clusters for multiple developers at the same time.
- Write code in the IDE you already love
- Leverage all the neat development features, such as debugger, code-hot-reloading, overriding
- Run high-level integration tests against all dependent services
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KubeGrid
Define your Kubernetes infrastructure, and use KubeGrid to automatically deploy, monitor, and optimize up to thousands of clusters. KubeGrid automates the full lifecycle management of Kubernetes in on-prem and cloud environments, enabling developers to deploy, manage, and update large numbers of clusters with ease. KubeGrid is a Platform as Code, meaning you can declaratively define all your Kubernetes requirements as code, from your on-prem or cloud infrastructure, to cluster specs, and autoscaling policies, and KubeGrid will deploy and manage everything for you. Most infrastructure-as-code tools help you provision infrastructure, but stop there. KubeGrid goes beyond that to help developers automate Day 2 operations, such as monitoring infrastructure, failing over unhealthy nodes, and updating your clusters and operating system. Kubernetes is great for provisioning pods in an automated fashion.
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Speedscale
AI bug repair from real production traffic, run entirely in your cloud. Speedscale captures HTTP, gRPC, and SQL traffic via eBPF inside your Kubernetes cluster. Production payloads never leave your perimeter.
When a failure occurs: the capture agent records the exact request, a triage agent classifies it, a reproduction agent replays it against your codebase, and a validation agent verifies the fix before the PR opens. Fully autonomous or human-gated.
You supply the cloud, storage, and AI models (Anthropic, Llama, or your own). Speedscale orchestrates the loop with no cloud, model, or storage lock-in.
proxymock: free CLI giving AI coding agents (Claude Code, Cursor, Copilot) real production context via MCP. No signup required.
Meets PCI and HIPAA data-residency requirements. Used by Home Depot, IHG, FLYR, Cimpress/Vistaprint, Navitaire, and Ascension Health.
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