LightRun
UnclaimedSee your code in action, across any environment, with AI-powered runtime debugging.
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67 reviews tracked·1 press mentionsThe Bottom Line
Entry price
Free plan available, paid tiers above
Biggest pro
Reduces MTTR for incidents by providing immediate root cause analysis.
Biggest con
Requires integration of an agent into the application environment.
TL;DR - LightRun
- Provides AI-powered, line-level runtime debugging across all SDLC environments.
- Enables dynamic logging, metrics, and snapshots in live applications without code changes or redeployment.
- Integrates directly with IDEs to offer real-time visibility and fix suggestions for production issues.
Pricing: Free plan available
Best for: Growing teams
4.8/5 across review platforms
What is LightRun?
Lightrun is a developer observability platform that provides real-time, line-level code context across the entire Software Development Life Cycle (SDLC). It supercharges IDEs and AI Agents by allowing developers to debug and remediate software issues autonomously, powered by live runtime data. The platform enables engineers to add dynamic logs, metrics, and snapshots to live applications without stopping, redeploying, or modifying code.
Lightrun is designed for engineering teams that need to quickly pinpoint and resolve issues in complex, distributed environments, including production. It helps reduce Mean Time To Resolution (MTTR) by providing immediate visibility into application behavior, even for elusive bugs that only appear in specific environments. The tool integrates directly into popular IDEs like IntelliJ and Visual Studio Code, offering a seamless debugging experience for cloud-native, on-premise, containerized, and serverless applications.
Available on: Web
Pros & Cons
Pros
- Reduces MTTR for incidents by providing immediate root cause analysis.
- Allows debugging in production environments safely without application downtime.
- Eliminates the need for redeployments or adding print statements for debugging.
- Reduces logging costs by enabling on-demand, targeted logging.
- Provides deep visibility into complex issues, including vague 500 errors and performance bottlenecks.
Cons
- Requires integration of an agent into the application environment.
- May have a learning curve for new users unfamiliar with runtime observability concepts.
Ratings Across the Web
4.8(67 reviews)
Ratings aggregated from independent review platforms. Learn more
Preview
Key Features
AI-powered autonomous debuggingDynamic Logs (add logs without code changes or redeployment)Real-time code context at the line levelRuntime snapshots (capture call stack and variables)On-demand code-level metricsIDE integration (IntelliJ, Visual Studio Code, PyCharm)Support for cloud, on-prem, Kubernetes, serverless environmentsDebug third-party libraries without configuration
Pricing Plans
Pricing checked May 29, 2026
Free
Free
- Dynamic Logs
- Real-time Snapshots
- Performance Metrics
- Counters
- Custom Metrics
- Conditions & TTL
- Multi-Instance JVM (Java, Scala & Kotlin) Support
- Python Support
- JavaScript & TypeScript Support
- .NET (C# & #F) Support
- IntelliJ IDE Plugin
- PyCharm IDE Plugin
- WebStorm IDE Plugin
- VS Code Support
- CLI Support
- Web Editor
Pro / Teams
Contact Us
- Multi-instance debugging (K8s, Serverless etc)
- Limited APMs and Logging tool integrations
- Slack integration
- Dynamic Logs
- Real-time Snapshots
- Performance Metrics
- Counters
- Custom Metrics
- Conditions & TTL
- Multi-Instance JVM (Java, Scala & Kotlin) Support
- Python Support
- JavaScript & TypeScript Support
- .NET (C# & #F) Support
- IntelliJ IDE Plugin
- PyCharm IDE Plugin
- WebStorm IDE Plugin
- VS Code Support
- CLI Support
- Web Editor
- Logging Tool Integrations
- Slack Integration
- Reporting
- Multi-Instance Debugging
- Customer Success
Enterprise
Contact Us
- Role-based access control
- Full audit log and reports, Blocklisting & PII redaction
- Unlimited APMs, and Logging tool integrations
- SSO, SCIM & SAML support
- Professional Services & Enterprise Success
- 24/7 Support, Premium SLA Package
- On-premise, Single Tenant, Private cloud deployment
- Dynamic Logs
- Real-time Snapshots
- Performance Metrics
- Counters
- Custom Metrics
- Conditions & TTL
- Multi-Instance JVM (Java, Scala & Kotlin) Support
- Python Support
- JavaScript & TypeScript Support
- .NET (C# & #F) Support
- IntelliJ IDE Plugin
- PyCharm IDE Plugin
- WebStorm IDE Plugin
- VS Code Support
- CLI Support
- Web Editor
- Logging Tool Integrations
- Slack Integration
- Reporting
- Multi-Instance Debugging
- Customer Success
- Custom SSO Integrations
- Unlimited Integrations
- Role-Based Access Control
- Full Audit Log
- On-Premise Deployment
Reviews
4.8/5
Across 67 verified user reviews on G2
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LightRun FAQ
How does Lightrun ensure safety and minimal impact when debugging live production systems?
Lightrun connects to live applications safely and indirectly. All instrumentation, such as logs, metrics, and snapshots, is performant, read-only, and does not require code changes or application restarts, ensuring that debugging activities do not introduce new risks or significantly impact the running application's state or performance.
Can Lightrun debug issues that occur only in specific user flows or with particular configuration settings?
Yes, Lightrun allows developers to debug specific user flows, configuration settings, and particular states. It enables adding telemetry in real-time with actual state data, making it possible to pinpoint exact behaviors reliably without needing to mock or reproduce complex scenarios.
What is the process for adding a new log line to a running application using Lightrun?
To add a new log line, developers use the Lightrun plugin within their IDE (e.g., IntelliJ, VS Code). They can select a specific line of code, define the log message and any conditions, and Lightrun will instrument the live application to emit that log without requiring a redeploy or application restart. The logs can then be viewed directly in the IDE or streamed to an existing logging solution.
How does Lightrun help reduce logging costs compared to traditional logging approaches?
Lightrun reduces logging costs by enabling developers to add logs on-demand and at runtime, only when and where they are needed for troubleshooting. This eliminates the practice of over-logging applications during development in anticipation of future issues, as the majority of logs are never emitted, leading to significant cost savings on log storage and processing.
Is it possible to debug third-party libraries or frameworks within an application using Lightrun?
Yes, Lightrun works seamlessly within your supply chain, allowing you to add logs, metrics, and snapshots across popular ORMs, web frameworks, SDKs, and other third-party libraries. This capability requires zero additional configuration, providing deep visibility into external code components.
What kind of AI capabilities does Lightrun offer for debugging?
Lightrun leverages agentic AI to autonomously debug and remediate software issues. It can pinpoint root causes down to the exact line of code, highlight culprit code paths, and deliver real-time debugging suggestions. This allows developers to validate findings against the running instance and receive instant fix suggestions.
Source: lightrun.com