N|Solid Extension and Plugin: Runtime Intelligence Where Developers Work
Excerpt: The N|Solid Extension and open-source N|Solid Plugin bring real Node.js runtime context into code editors and AI coding agents, helping developers investigate production issues, improve performance, and validate changes without breaking their workflow.
Modern developers spend most of their time inside code editors and AI coding agents.
But when a Node.js application experiences a memory leak, CPU spike, event loop delay, or dependency vulnerability, the most valuable information often lives somewhere else.
The source code is inside the editor. Production telemetry is inside an observability platform. Diagnostic files are opened with separate tools. Package security information comes from another workflow.
The N|Solid Extension and N|Solid Plugin bring these experiences closer together.
The Extension gives developers a visual way to work with N|Solid directly inside their editor. The Plugin brings N|Solid capabilities into AI coding agents.
Together, they help reduce the distance between detecting a production issue, understanding its cause, implementing a fix, and validating the result.
Install N|Solid
N|Solid Extension
Install the Extension for your preferred code editor:
Visual Studio Code
https://marketplace.visualstudio.com/items?itemName=nodesource-inc.nsolid
Cursor, Windsurf, and Antigravity
https://marketplace.windsurf.com/extension/nodesource-inc/nsolid/1.0.2
N|Solid Plugin
Explore or install the open-source Plugin:
N|Solid Plugin on GitHub
https://github.com/nodesource/nsolid-plugin
nsolid-plugin on npm
https://www.npmjs.com/package/nsolid-plugin
nsolid-pi-plugin on npm
https://www.npmjs.com/package/nsolid-pi-plugin
Install the N|Solid Plugin:
npm install -g nsolid-plugin
Production Context Is the Missing Layer
Source code shows what an application is designed to do.
Runtime intelligence shows what the application actually does.
A memory leak may appear only after hours of traffic. A CPU spike may depend on a specific function or request. An event loop delay may come from synchronous work hidden inside an application or dependency.
These problems cannot always be understood by reading the repository alone.
Developers need information from the running Node.js process, including:
- CPU and memory behavior
- Event loop utilization
- Process events
- CPU Profiles
- Heap Snapshots
- Dependency and vulnerability information
- Performance benchmarks
N|Solid brings this production context into the tools developers already use.
N|Solid Extension: Production Intelligence Inside the Editor
The N|Solid Extension connects a developer’s workspace with runtime telemetry, diagnostic assets, dependency information, and performance tools.
Instead of moving constantly between a monitoring dashboard, terminal, profile viewer, security platform, and code editor, developers can investigate Node.js applications while remaining close to the relevant code.
With the Extension, developers can:
- Monitor CPU, heap memory, event loop utilization, processes, and vulnerabilities.
- Capture and analyze CPU Profiles, Heap Snapshots, and Heap Profiles.
- Investigate runtime events and application behavior.
- Review dependency risks and package information.
- Benchmark JavaScript and TypeScript functions.
- Use AI-assisted workflows with real runtime context.
This creates a more connected Developer Experience.
A developer can identify unusual memory growth, capture a Heap Snapshot, investigate retained objects, find the relevant code, implement a fix, and then capture another snapshot to validate the improvement.
The same approach applies to CPU spikes, event loop delays, package risks, and performance optimizations.
The goal is not simply to display more information.
It is to make production data more actionable.
N|Solid Plugin: Runtime Intelligence for AI Coding Agents
The open-source N|Solid Plugin brings N|Solid capabilities into AI coding agents.
It allows developers to use AI-assisted workflows for investigating Node.js performance, memory, security, dependencies, and benchmarking with real runtime context.
Instead of reasoning only from source code, an agent can work with production telemetry and diagnostic information to help developers:
- Understand runtime issues.
- Investigate possible causes.
- Propose targeted changes.
- Validate performance improvements.
- Review dependency and security risks.
This gives AI coding agents more useful context about how an application behaves when it is running.
What Developers Can Accomplish
Diagnose Memory Leaks
Developers can identify abnormal heap growth, capture a Heap Snapshot, analyze retained objects, locate the related code, implement a fix, and validate the result.
Investigate CPU Spikes
Teams can capture a CPU Profile, identify expensive functions, review their implementation, and benchmark an optimized version before deployment.
Analyze Event Loop Delays
Runtime telemetry can help developers find synchronous operations, expensive execution paths, or dependency behavior affecting application responsiveness.
Improve Dependency Security
Developers can review vulnerabilities, evaluate package risks, plan upgrades, and make better-informed remediation decisions.
Validate Performance Changes
N|Solid benchmarking workflows help teams compare implementations and confirm that an optimization produces a measurable improvement.
One Platform, Two Developer Experiences
The N|Solid Extension and Plugin are not separate versions of the product.
They are two ways of working with runtime intelligence.
The N|Solid Extension is designed for developers who want to visually explore application telemetry, diagnostics, dependencies, and benchmarks inside their editor.
The N|Solid Plugin is designed for developers who want to bring those capabilities into their AI coding agent workflows.
They can also be used together.
A developer might identify unusual CPU consumption through the Extension, inspect the affected process, and then use an AI coding agent to analyze the diagnostic information and propose an optimization.
The interface changes, but the source of truth remains the running Node.js application.
From Runtime Signals to Validated Improvements
The future of Node.js Developer Experience is not only about generating code faster.
It is about making better decisions with real production context.
The N|Solid Extension brings runtime telemetry, diagnostic assets, package intelligence, benchmarking, and AI assistance into the editor.
The open-source N|Solid Plugin brings those capabilities into AI coding agents.
Together, they help developers move through a more complete workflow:
Detect. Investigate. Understand. Fix. Validate.
Your editor can understand more than the repository.
Your AI coding agent can work with more than assumptions.
And your team can move from production signals to validated improvements without breaking the development workflow.
Get Started
Install the N|Solid Extension for Visual Studio Code
https://marketplace.visualstudio.com/items?itemName=nodesource-inc.nsolid
Install the N|Solid Extension for Cursor, Windsurf, or Antigravity
https://marketplace.windsurf.com/extension/nodesource-inc/nsolid/1.0.2
Explore the N|Solid Plugin on GitHub
https://github.com/nodesource/nsolid-plugin
Install nsolid-plugin from npm
https://www.npmjs.com/package/nsolid-plugin
Install nsolid-pi-plugin from npm