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Lightrun

Lightrun AI Autonomous Debugger

This video showcases how with Lightrun developer observability platform, developers can leverage the AI debugger within the platform plugin to swiftly identify critical code level issues through automated hypothesis and insertion of debugging actions at runtime (Lightrun dynamic logs, virtual breakpoints (Snapshots) and more. That helps reduce MTTR to mere minutes.

Lightrun Unveils Game-Changing Visual Studio Extension and Dynamic Traces at AWS ReInvent 2024

As we kick off the AWS re:Invent 2024 conference, we’re thrilled to introduce two major developer observability and live debugging advancements that bring even greater power and flexibility to developers and engineering teams everywhere. These new product capabilities — the Lightrun Visual Studio Extension and Lightrun Dynamic Traces — are designed to elevate customers’ observability workflows and streamline their development processes directly within their IDE.

Black Friday Without the Developer Nightmares: A Survival Guide

Black Friday, the traditional kickoff to the holiday shopping season, is set to make waves in 2024 with projected sales reaching an impressive $10.8 billion—a 9.9% increase from last year according to Statistics.blackfriday analysts. According to the same team, Cyber Monday sales in 2024 are expected to reach $13.2 billion—a 6.1% increase from 2023. Both events in sum are expected to generate $24 billion in sales.

Early Observability in Platform Engineering: Challenges and Solutions

Since the emergence of the cloud, the DevOps movement, and the rise of microservices, developers have been increasingly responsible for the operation of their software. “You build it, you run it” (YBYR) and “You build it, you operate it” (YBYO) have become common mantras in the software engineering industry. However, there’s a misunderstanding in this statement. Developers should remain focused on building software.

How Generative AI Is Revolutionizing Debugging

In the rapidly evolving landscape of software development, the integration of generative AI has become a game-changer for organizations striving to deliver high-quality software at scale. Among its many transformative applications, autonomous debugging stands out as a critical advancement, offering the potential to revolutionize the way development teams tackle errors and maintain operational efficiency.

Best Practices for Using JIT Access as Part of Developer Observability

JIT Access, sometimes referred to as just-in-time provisioning or just-in-time privileged access management (JIT PAM), is a security strategy that grants users access privileges for limited time periods. Access is granted on an “as-needed” basis. For example, if a developer requires access to a specific platform for a week or as part of an on-call access to production duty, a JIT Access system can provide that access and automatically revoke it after the time period ends.

The New Era of Autonomous Debugging: Transforming the SDLC

The software world is changing rapidly due to advancements in GenAI. These technologies are disrupting traditional processes and driving automation across every part of the SDLC. The market for AI code tools is estimated to reach $30 billion by 2032. It started with code generation, then moved to testing, QA, automatic pull requests, and beyond.

Streamlining Debugging with Lightrun Snapshots: A Superior Alternative to Trace Logging

According to a recent study, failing tests alone cost the enterprise software market an astonishing $61 billion annually. This figure mirrors the vast number of resources devoted to rectifying software failures, translating into about 620 million developer hours lost each year. On average, engineers spend 13 hours to resolve a single software failure, a statistic that paints a stark picture of the current state of debugging efficiency.

Lightrun Product Updates : H1 2024

Throughout the first half of 2024, Lightrun has focused on developing a range of solutions and improvements aimed at enhancing developer observability and live debugging. These advancements help organizations significantly reduce their MTTR for complex issues while boosting developer productivity. Read more below the main new features as well as the key product enhancements that were released in H1 of 2024!