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The Hidden Cost of Vague Bug Reports: A Data-Driven Analysis

We analyzed data from 500+ development teams to understand the true cost of unclear customer feedback. The results reveal a massive opportunity for improvement.

The Future of Debugging: 5 Predictions for AI-Assisted Development

Where is AI-assisted debugging headed? We share our predictions for the next 5 years—from real-time bug prevention to self-healing applications.

From Video to Pull Request: A Complete Causly Workflow Tutorial

Step-by-step guide to using Causly to analyze a customer screen recording, understand the issue, find relevant code, and create a GitHub PR—all in under 10 minutes.

Why I Built Causly: The Debugging Pain That Started It All

The frustrating experience that led me to build Causly. After wasting countless hours scrubbing through screen recordings and chasing vague bug reports, I realized AI should be doing this—not me.

Introducing Causly: From Customer Frustration to Code Fix in Minutes

We're launching Causly, the AI-powered platform that transforms customer screen recordings into actionable code fixes. No more hours spent reproducing bugs or deciphering vague feedback.

Announcing Causly Slack Integration: Debug Without Leaving Your Workflow

Analyze customer videos, get AI insights, and create GitHub PRs—all from Slack. Our new integration brings Causly directly into your team communication.

5 Debugging Workflows That Waste Developer Time (And How to Fix Them)

Common debugging anti-patterns that slow teams down, and practical strategies to eliminate them. Based on interviews with engineering leaders at fast-growing startups.

Alex Plisov

|January 14, 2026|

4 min read