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จากสคริปต์ที่เราเดา สู่พฤติกรรมผู้ใช้จริง: ทำไม Performance Engineering ยุคใหม่ถึงซ้อนทับกับ Resilience Engineering มากขึ้นเรื่อยๆ

Load Test ผ่านแล้ว แต่ทำไมระบบยังล่มได้? | MCT Home / Software Testing & IT Solutions / Performance Engineering Enginee

October 8, 2026

Automated Functional Test Blog News Performance Test

ความปลอดภัยของข้อมูลกับ GenAI: เรากำลังป้อนข้อมูลความลับบริษัทให้ AI เรียนรู้ฟรีๆ หรือไม่?

ความปลอดภัยของข้อมูลกับ GenAI: เรากำลังป้อนความลับบริษัทให้ AI เรียน

October 7, 2026

Automated Functional Test Blog News Performance Test

ทำไมองค์กรยุคนี้ต้องใช้ Zero Trust Architecture?

ทำไมองค์กรยุคนี้ต้องใช้ Zero Trust Architecture? | MCT Home / Software Testing & IT Solutions / Zero Trust Architecture Cybersecu

October 7, 2026

Automated Functional Test Blog News Performance Test

Code Impact Analysis: จุดเชื่อมสำคัญระหว่างความเร็วและความมั่นใจ

Code Impact Analysis: จุดเชื่อมสำคัญระหว่างความเร็วและความมั่นใจ | MCT Home / Software Testing &

September 21, 2026

Blog News Performance Test

Test Impact Analysis

Test Impact Analysis: ลด Regression Test ที่ไม่จำเป็น โดยไม่ทิ้ง Coverage | MCT Home / Software Testing & IT Solutions / Test I

September 21, 2026

Automated Functional Test Blog News Performance Test

ทำไม “ความปลอดภัยทางใจ” (Psychological Safety) ถึงกลายเป็น KPI ทางเทคนิคที่ชี้เป็นชี้ตายองค์กรในปี 2026

Psychological Safety: ทำไม “ความปลอดภัยทางใจ” คือ KPI ทางเทคนิคของปี 2026 | MCT Engineering Cu

A 1x1 vector infographic with a light blue technical grid background, visualizing critical failure points and solutions for complex software quality engineering projects. The center displays a technical data pipeline leading to a large brain icon with 'Contextual Injection'. This pipeline maps out connections to a human 'Tester' team on the left (linked to Strategy, UX Silos, Data Discovery Gaps) and a sophisticated 'AI Agent' robot on the right (linked to Automated Regressions, API Test Gaps, Anomaly Detection). The workflow connects various data inputs like an Enterprise Knowledge Base, MCT Knowledge Base, and Context Management Tools. Below the main pipeline, the bottom panel compares project outcomes: a confused developer facing generic non-functional code (Left: Before, Prompt limits) versus a collaborative human-robot team achieving structured product-ready code (Right: After, Enterprise Synergy), highlighting the 'Fixing the Process' transformation. The entire graphic uses a modern blue, teal, and gold technical illustration style.

June 30, 2026

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Automated Functional Test Blog News

Why Test Automation Projects Fail (And How to Avoid It)

Why Test Automation Projects Fail (And How to Avoid It) | MCT Test Automation Why Test Automation Projects Fail (And How to Avoid It) ทำไมหลายองค์กรล�

A 1x1 futuristic infographic titled "The Future of Quality Engineering in the Age of Continuous Change". It features a multi-tiered cybernetic tower over a modern city skyline. At the top of the tower, two human software engineering professionals and a humanoid AI robot collaborate over an illuminated "Integrated QA Strategy" interface. The structure's central vertical column serves as a "Knowledge Core" showing a data flow from Context Engineering, RAG Retrieval, AI-Assisted Analysis, to Validation. The left side highlights automated components in glowing teal, while the right side focuses on human-centric testing assets in glowing gold.

June 30, 2026

ai-testing DevOps digital-transformation quality-assurance quality-engineering

Automated Functional Test Blog News

The Future of Quality Engineering in the Age of Continuous Change

The Future of Quality Engineering in the Age of Continuous Change | MCT Quality Engineering The Future of Quality Engineering in the Age of Continuous Change เมื่อคว�

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