As AI adoption grows, software teams face a new challenge:
How do you maintain quality while shipping faster?
Panto AI helps teams automate mobile app testing, code reviews, and release validation with AI-powered QA workflows.
https://t.co/LDDKZ0o2V7
#AI#MobileTesting#QA
AI adoption is accelerating faster than almost any technology in history.
• 900M ChatGPT weekly users
• 88% of enterprises use AI
• 84% of developers use or plan to use AI tools
• $2.52T projected AI spending in 2026
AI is no longer a trend. It's infrastructure.
We analyzed the latest AI tools statistics for 2026, covering:
✓ Users & adoption
✓ Enterprise AI spending
✓ Developer usage trends
✓ Country-level adoption
✓ AI market share
✓ Future growth forecasts
Read the full report:
https://t.co/FcIWklRIog
Most device clouds solve the infrastructure problem.
Panto AI solves the automation problem too.
→ No code tests
→ Run on real devices
→ Export Appium/Maestro scripts
→ Self-healing automation
Learn more:
https://t.co/saMzFmuCNy
#MobileQA#Appium#QualityEngineering
Emulators are great for development.
But your users aren't running your app on emulators.
They're using real devices with different hardware, OS, screens, networks, and specific quirks.
That's why real device cloud testing has become essential for modern mobile QA teams.
We analyzed the top real device cloud testing platforms available in 2026, including:
• AI-powered platforms
• Enterprise-grade device clouds
• Performance-focused testing solutions
• Scriptless/low-code automation tools
Read the full breakdown here:
https://t.co/UjUE0JtZLp
Panto uses AI agents to generate, execute, and maintain tests across web and mobile applications—helping teams move faster while reducing manual QA effort.
Learn more:
https://t.co/LDDKZ0o2V7
#Playwright#TestAutomation#QA#SoftwareTesting#AutomationTesting
Playwright has quietly become one of the biggest success stories in test automation.
📈 89.8K GitHub stars
📈 33M+ weekly npm downloads
📈 95% developer retention
📈 3,674 developers using it at work
Playwright's growth trajectory is difficult to ignore.👇
We analyzed the latest Playwright data to understand what's driving its adoption, covering:
• User growth
• Enterprise adoption
• Playwright vs Cypress vs Selenium
• Developer ecosystem trends
• Market growth projections
Read the full analysis:
https://t.co/GaGt1T2S7x
At Panto AI, we’re building AI-native mobile QA designed to reduce brittle selectors and endless test maintenance.
Self-healing + real devices + AI-driven execution = faster, more reliable mobile releases.
https://t.co/rcA0Hpbpk6
#MobileTesting#QA#TestAutomation
Mobile test automation breaks faster than most web automation.
A selector works on one device → fails on another.
A UI update ships → half the suite turns flaky.
That’s why self-healing test automation is becoming essential for modern mobile QA teams.
We analyzed the top self-healing mobile testing tools in 2026. These tools use:
fallback locators,
contextual matching,
visual recognition,
execution history,
and AI-based element scoring
to recover broken tests automatically.
Full breakdown here:
https://t.co/xR9GmJA43w
Mobile QA is getting harder:
• more devices
• more OS fragmentation
• more release velocity
Panto AI helps teams automate mobile testing workflows with AI-powered no-code test automation and faster regression coverage.
https://t.co/rcA0Hpbpk6
#Appium#MobileTesting#QA
Appium is still one of the biggest mobile automation frameworks in 2026.
Some numbers:
• 919k+ weekly npm downloads
• 21.6k GitHub stars
• 2M+ weekly downloads for @appium/support
The mobile testing market itself could hit $19.84B by 2031.
Mobile users don’t wait around for slow apps.
53% abandon apps that take more than 3 seconds to load — and repeated performance issues destroy retention fast.
Modern mobile teams are shifting performance testing left into CI/CD instead of waiting for production failures.
We analyzed the 10 best mobile app performance testing tools in 2026, covering:
▶ CI-native performance testing
▶ Real-device validation
▶ Backend load testing
▶ Production observability
▶ AI-driven root cause analysis
Full breakdown:
https://t.co/ER5JrT36NC
Modern Atlassian teams are also rethinking QA and release workflows.
Panto AI helps engineering teams:
• Generate tests from PRs
• Review code with ease
• Reduce maintenance overhead
• Accelerate releases with AI
https://t.co/rcA0Hpbpk6
#Atlassian#Jira#DevOps
Atlassian’s scale in 2026 is bigger than most people realize.
• 350K+ customers
• $6.2B trailing revenue
• 5M+ AI MAU
• 80%+ Fortune 500 penetration
• $1B+ quarterly cloud revenue
This is no longer just Jira + Confluence. It’s becoming a full AI-native enterprise platform.
Some of the most interesting Atlassian trends right now:
→ AI MAU grew from 2.3M → 5M+ in 2 quarters
→ 600+ customers spend $1M+ ARR
→ Enterprise business grew 60% YoY
→ Cloud NRR stayed above 120%
Full breakdown:
https://t.co/N2tHqe3RfH