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Top 10 Automation Testing Trends in 2025-2026





Where is QA Automation heading in 2025-2026?

What should engineers and companies focus on to stay ahead?

At Codemify, we work closely with students, graduates, and startup partners every month. Based on that experience, we’ve compiled the most impactful testing trends shaping the industry in 2025-2026.

This guide is practical, forward-looking, and built for action.

Key Takeaways

  • Agentic AI moves from “assistants” to autonomous decision-makers.
  • Shift-right with AI analytics: focus on real user behavior in production.
  • Human-in-the-loop: QA evolves into a facilitator of quality, not just a gatekeeper.
  • DevOps/SRE integration → continuous quality as part of delivery.
  • Playwright solidifies its spot as the #1 automation tool.
  • Python remains the top testing language, with TypeScript gaining traction for Playwright.
  • E2E quality platforms unify functional, performance, security, and accessibility testing.
  • Tester roles evolve into hybrid profiles (AI + Automation + DevOps).

1) Agentic AI: Autonomous Assistants for QA

What’s new.

AI systems are no longer just helping testers — they’re making decisions: choosing which tests to run, managing environments, classifying failures, and even suggesting bug fixes.

Key benefits:
  • Smarter regression prioritization.
  • Less manual triage and re-runs.
  • More coverage without exploding test suites.

2) A Real-World Example of Agentic Workflow



Imagine an AI agent managing regression for an e-commerce platform:

  1. Analyzes code changes and ranks risk.
  2. Selects and adapts tests dynamically.
  3. Executes across environments, triggers diagnostics if failures occur.
  4. Classifies results and produces a clear report.
  5. Learns continuously, improving test coverage and accuracy over time.
The agent doesn’t replace engineers — it removes repetitive tasks and boosts decision-making power.

3) AI Shift-Right: Understanding the User

Shift-left isn’t going away, but in 2025, shift-right is becoming just as critical.

  • Collect telemetry from real users to identify high-value flows.
  • Use AI to detect long-tail edge cases and usage patterns.
  • Build dynamic regression suites based on actual behavior.
Benefits: fewer incidents, higher feature adoption, and smarter prioritization of regression scenarios.

4) Everyone is QA: Human-in-the-Loop

With AI-powered low-code/no-code tools, business analysts, product managers, and even developers can now contribute to testing.

QA’s role?

  • Curating and validating AI-generated tests.
  • Setting boundaries and risk frameworks.
  • Ensuring the focus stays on business value, not just coverage.

5) Tester Role Evolution in 2025

The modern tester = Automation + AI literacy + DevOps mindset.

Key skills in demand:
  • Building quality platforms, not just test cases.
  • Data-driven thinking: making decisions from metrics and telemetry.
  • Business communication: showing ROI of QA to stakeholders.

6) DevOps & SRE: Continuous Quality as a System

Testing is fully embedding into CI/CD:

  • Quality gates at every pipeline stage.
  • Canary/feature flag testing and production monitoring.
  • Chaos testing and resilience checks for critical services.
  • This creates shorter feedback loops and higher release confidence.

7) End-to-End Autonomous Quality Platforms

Instead of juggling multiple tools, teams are moving to all-in-one quality platforms covering:

  • Functional testing
  • API validation
  • Performance and load testing
  • Security checks
  • Accessibility audits
  • AI acts as the orchestrator, reducing noise and surfacing real insights.

8) Playwright: Why It’s the Leader

  • Fast, reliable, cross-browser — now the default for UI web automation.
  • Includes API testing, trace debugging, fixtures, and parallelism out of the box.
  • Best paired with TypeScript, aligning naturally with modern front-end stacks.
Use retries only for diagnostics, not to hide flaky tests.

9) Which Language to Learn in 2025

  • Python → still #1 for simplicity, libraries, and AI/ML use cases.
  • TypeScript → best for UI/API automation with Playwright.
  • Java → widely used in enterprises and legacy systems.
At Codemify, we teach TypeScript for Playwright and Python for AI tools, giving engineers flexibility across job markets.

10) How to Succeed with Automation in 2025 (Action Plan)

Month 0–1
  • Record baseline metrics (release time, bug count, stability).
  • Set up Playwright for smoke + API layer.
  • Align regression with release cadence.
Month 2–3
  • Integrate into CI/CD with quality gates.
  • Add AI-powered test generation from user sessions.
  • Standardize locators/contracts to reduce flakiness.
Month 4–6
  • Connect production signals → regression.
  • Consolidate reporting into a single quality dashboard.
  • Cover critical flows with contract and performance tests.
  • Present QA ROI: “Regression reduced by X%, incidents down Y%.”

FAQ

Will AI replace QA engineers?
No. AI reduces repetitive tasks, but humans define boundaries, risk, and final decisions.
Playwright or Cypress?
For most projects in 2025, Playwright leads. Cypress remains strong for front-end niches.
How do I fix flaky tests?
Stable locators, state handling, containerized environments, retries for diagnostics only.
Where should I start with AI in QA?
Begin with telemetry → generate scenarios from sessions → pilot an AI agent on a regression slice.

If you’re serious about breaking into tech:

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See you in class,
— Sergii
Founder of Codemify
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