- Lightrun Inc., an Israeli startup, raises $18 million in a Series B funding round.
- The company introduces the Runtime Autonomous AI Debugger, a generative AI-based tool for runtime debugging.
- Founded in 2019, Lightrun offers a real-time observability platform for developers, enabling code debugging without extensive pretesting.
- The “shift left” observability approach provides deeper insights into applications by allowing runtime insertion of logs, metrics, and traces.
- The new debugger automates the entire debugging process, from ticket creation to pinpointing code issues, reducing troubleshooting time.
- The tool is currently in private beta and aims to improve developer productivity and reduce operational mean time to resolution.
- Major clients include Salesforce, Microsoft, AT&T, SAP, and Booking Holdings.
- Co-founder Ilan Peleg highlights that while investments have focused on AI tools for code generation, runtime debugging within IDEs was underdeveloped.
- Series B funding led by GTM Capital, with additional contributions from Insight Partners and Glilot Capital, brings total funding to $48 million.
Main AI News:
Israeli startup Lightrun Inc., specializing in developer observability, has announced a significant milestone: an $18 million funding round and the introduction of its Runtime Autonomous AI Debugger. This new tool, powered by generative artificial intelligence, aims to revolutionize the debugging process. Since its inception in 2019, Lightrun has provided a developer-focused observability platform that facilitates real-time code debugging without the need for extensive pretesting or redeployment. The company’s platform offers unprecedented visibility into application behavior across development, staging, and production environments.
Lightrun’s platform is built around a “shift left” observability approach, which allows developers to gain deeper insights into running applications by inserting logs, metrics, and traces directly during runtime. This capability, the company asserts, significantly reduces mean time to resolution and logging costs while boosting developer productivity and software quality. The new Runtime Autonomous AI Debugger enhances this approach by automating the debugging journey. It performs dynamic snapshots and log insertions, offering line-by-line runtime debugging to pinpoint issues with greater accuracy.
The AI-powered debugger automates the entire troubleshooting process, from the initial ticket creation to identifying the exact line of code responsible for the issue. This automation is designed to minimize the time developers spend on debugging, potentially transforming the debugging experience and reducing operational mean time to resolution to mere minutes. This tool is now available in private beta, promising to streamline the debugging workflow and save developers from prolonged troubleshooting cycles.
Lightrun counts major corporations among its clients, including Salesforce, Microsoft, AT&T, SAP, Advanced Data Processing, Booking Holdings (Priceline), and Industria de Diseño Textil (Inditex). Co-founder and CEO Ilan Peleg emphasized the significance of this development, noting that while substantial investments have been made in generative AI tools for code generation and quality assurance, runtime debugging within integrated development environments (IDEs) has been notably lacking. Lightrun’s new debugger integrates seamlessly into the developer workflow, providing a fully automated generative AI experience within the IDE.
The Series B funding round was led by GTM Capital, with participation from previous investors Insight Partners and Glilot Capital Partners. With the addition of this new funding, Lightrun has raised a total of $48 million to date, further solidifying its position in the developer observability market.
Conclusion:
Lightrun’s significant funding and innovative Runtime Autonomous AI Debugger are poised to make a substantial impact on the developer tools market. The new AI-driven debugging solution addresses a critical gap in the IDE ecosystem, where generative AI has not yet been fully leveraged for runtime debugging. By automating and streamlining the debugging process, Lightrun enhances developer efficiency and reduces the time required to resolve production issues. This advancement is likely to increase competitive pressure on other observability and debugging tool providers, driving further innovation in the space.
