World Congress 2025 Aug 20, 2025 Session details

Debugging in the Dark

Nishil Patel

Are endless 'works on my machine' debates killing your team's productivity? Discover how automated state capture and AI-driven root cause analysis can slash your debugging time by 75%.

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#1 about 2 min

Common challenges developers face during bug resolution

Incomplete bug reports missing server logs and environmental context cause significant delays during issue resolution.

#2 about 1 min

Capturing visual bug stories with browser extensions

Recording screen interactions and audio feedback creates immediate and context-rich issue reports for development teams.

#3 about 2 min

Collecting essential system and environmental data automatically

Automatically capturing network speed, console logs, and local storage completely eliminates manual context gathering.

#4 about 1 min

Generating step-by-step issue summaries for project management

Automated step-by-step resolution summaries streamline workflows by uploading tasks directly to integration platforms like Jira.

#5 about 2 min

Analyzing error logs and root causes using artificial intelligence

Backend application monitoring and AI debuggers propose immediate code solutions and test cases to prevent regressions.

#6 about 2 min

Generating context-aware code fixes using integrated chat capabilities

An embedded large language model console provides actionable code corrections based on specific bug sessions.

#7 about 1 min

Reducing bug resolution times and evaluating tool ROI

Consolidating the debugging workflow dramatically reduces turnaround times while offering scalable pricing tiers for development teams.

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Overcoming production bugs with zero-touch debugging automation tools

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Debugging challenges inside closed source cloud native environments

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Shifting developer focus from coding to debugging and architecture

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2:20 min

Validating user experiences directly with automated QA agents

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