Advancements in testing include Playwright’s virtual authenticator, Newman Dashboard for API analytics, AI-driven chatbot frameworks, and tools like Momentic and Selenium’s AI-first automation, alongside AI enhancements in failure analysis and code validation. Real-world AI deployments showcased efficiency gains, automated testing metrics, and challenges like validation bottlenecks in large-scale systems.

Test Guild News Show

Test Guild News Show hosted by Joe Colantonio has a round up of Software Testing Tool news and updates. Released as audio and video. Show notes have links to source of each news update.

• https://testguild.com/podcasts/news/
• https://www.youtube.com/playlist?list=PL9AgRtJkydU1WSjOuUkOeRFTDN5dPyL6u

Episode Details

• Show Notes: https://testguildnews.libsyn.com/new-playwright-linkedins-ai-tester-ai-for-selenium-and-more-tgns189
• Published: 2026-06-29T21:55:00Z
• Duration: 09:45
• Author: Unknown

Overview

The podcast discusses several advancements in testing and automation tools. Playwright 1.61 introduced a virtual web authenticator for password-less login testing, supporting Chromium, Firefox, and WebKit, along with features like a web storage API, video retention modes, and WebSocket captures. Newman Dashboard Orchestrator, a CLI tool for Postman collections, transforms terminal logs into interactive dashboards, visualizing API latency, tracking historical runs, and using AI for fault detection. A framework for testing public-facing chatbots was highlighted, focusing on seven layers including functional correctness, adversarial safety, and performance, with tools like Promfoo and Ragas. AI-First Selenium Automation was described as a method to convert traditional tests into AI-driven workflows, using intent recovery, outcome-based testing, and dynamic execution agents for resilience and broader validation. The Momentic Platform added AI capabilities, including a shared knowledge base, pull request analysis, failure classification, and human-readable test cases executed via browsers.

Automated testing tools and performance metrics showed beta agents analyzing 70,000 failures, generating 400 pull requests, and writing 600 tests with a 73% merge rate. The Robot Framework Certification Program expanded accessibility with self-paced training. LinkedIns QA Agent identified over 200 bugs using vision language models, running 350+ tests every 30 minutes and filtering false positives. Athena at Lloyd Banking Group implemented RAG to reduce search time from 59 to 20 seconds and automated validation with Pegasus. OpenAIs Daybreak program expanded with a Codex Security Plugin, GPT 5.5 Cyber, and scans of 30 million commits, though critics raised concerns about validation bottlenecks. General emphasis was placed on real-world AI deployment examples, reliability checks, and automation of validation processes.

What If

• What if you integrated Playwrights virtual web authenticator into your password-less login testing workflow?

  • Move: Upgrade to Playwright 1.61 and implement the credentials API for password-less login simulations across Chromium, Firefox, and WebKit.
  • Why Now?: Fintech and banking apps increasingly require password-less login testing, and the API simplifies testing without hardware keys.
  • Expected Upside: Reduced dependency on external hardware, faster test cycles, and improved usability for end-users.

• What if you leveraged Newman Dashboard Orchestrator to visualize API test results in real-time?

  • Move: Deploy Newman Dashboard to convert terminal logs into interactive dashboards with latency tracking and historical run comparisons.
  • Why Now?: Postman collections are widely used, and the privacy-first AIQA advisor can detect anomalies like expired auth tokens or schema regressions.
  • Expected Upside: Enhanced debugging via visualizations, faster root-cause identification, and a local ledger for auditing API performance.

• What if you pre-launch chatbot testing using a seven-layer framework with Promfoo and Lanc-Smith?

  • Move: Design a test suite for chatbots covering functional correctness, adversarial safety, and groundness using Promfoo (red teaming) and Lanc-Smith (test case generation).
  • Why Now?: Chatbots in public-facing apps risk costly failures (e.g., Air Canadas fare policy error), and tools like Regas can score RAG faithfulness.
  • Expected Upside: Early detection of edge cases, safety flaws, and performance bottlenecks, reducing post-launch remediation costs.

Takeaway

• Use Playwright 1.61s credentials API for password-less login testing to simulate secure, hardware-key-free authentication flows in fintech/banking apps, ensuring broader compatibility across Chromium, Firefox, and WebKit browsers.
• Integrate Newman Dashboard Orchestrator with Postman collections to visualize API test results, track historical runs, and leverage AIQAs heuristic fault detection for faster debugging of issues like expired tokens or schema breaks.
• Adopt Promfoo and Lanc-Smith for pre-launch chatbot testing, focusing on adversarial safety (e.g., preventing AI hallucinations) and edge cases (e.g., 10,000-character inputs) to improve reliability under real-world conditions.
• Leverage Momentics Explorer Agent to analyze GitHub PR diffs and automatically propose test cases for coverage gaps, reducing manual test writing effort while aligning with Jira and Slack workflows.
• Implement LinkedIns QA Agent to author tests via natural language, enabling non-engineers to create UI stability checks for iOS, Android, and web apps using vision language models and deterministic replay for high-throughput testing.