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At TDX, our sponsors fuel opportunities. Thousands of attendees look to our sponsors for transformative tools and Salesforce integrations that will help them take their businesses further.

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71%

of attendees visited sponsor booths

90%

attendee satisfaction for sponsor sessions

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Provar

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Overview

Provar brings AI-driven quality to modern Salesforce delivery. By embedding AI across testing, insight, and governance, we give enterprise teams real-time visibility into risk so leaders can ship faster and trust every decision behind every release.

https://www.provar.com
location15 - Provar (MW - L2 - Campground)

Sponsored Sessions

  • Yes
    The session explored how AI is revolutionizing quality assurance and test automation, with a focus on the challenges posed by accelerating technical and test debt in the Salesforce ecosystem. It highlighted the widening regression gap between code development and testing, driven by the rapid growth of AI-assisted code, with 40% of all new code in 2025 being AI-generated and GitHub commits surging from 1 billion in 2025 to over 14 billion in 2026. The speaker emphasized the critical need for modern quality systems to adapt to AI-driven development through self-healing tests, risk-based coverage metrics, and enhanced collaboration between development and testing teams. These innovations enable organizations to tackle test debt, improve release velocity, and ensure end-to-end validation of business scenarios, ultimately delivering better outcomes for end users in the fast-paced AI era.
    <html><head></head><body><p>• AI-assisted development is outpacing testing capabilities, with GitHub seeing a 14x increase in commits from 2025 to 2026, while testing capacity remains stagnant in many organizations.</p><p>• Test debt, defined as the gap between shipped code and validated code, poses immediate risks to production quality, and addressing this requires modern quality systems that include risk-based metrics, self-healing tests, and continuous monitoring.</p><p>• Adopting AI-native testing workflows and tools, such as self-healing automation and risk coverage analysis, allows organizations to align testing velocity with AI-driven code generation, ensuring faster and more reliable release cycles.</p></body></html>
    <a href="https://docs.google.com/forms/d/1RxLLEWKfFX0b9bpAoLIiCAcWhF_8t_8UZ8HDIdBLXMU/viewform?usp=pp_url&entry.996201328=1768431391969001kK5T">Report a Concern</a>
    https://docs.google.com/forms/d/1RxLLEWKfFX0b9bpAoLIiCAcWhF_8t_8UZ8HDIdBLXMU/viewform?usp=pp_url&entry.996201328=1768431391969001kK5T
    Understand how AI-driven development increases release velocity and introduces new quality risks like test debt.
    Identify common patterns that cause test debt to accumulate in modern Salesforce delivery pipelines.
    Implement a practical framework to scale test automation while reducing authoring time and maintenance effort.
    This session is first come, first seated. You do not have a reserved seat.
    Yes
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    Session Summary
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    Visible
    Level 2
    Theater
    Theater
    Thursday, Apr 16
    10:00 a.m. Thursday, Apr 16
    AI is accelerating delivery, but quality isn’t keeping pace. Regression gaps are widening into test debt. Walk away with a practical framework for scaling automation without scaling effort.