CODING JAG - Issue 280

Welcome to the 280th edition of Coding Jag brought to you by TestMu AI!👐

AI code promises speed and automation, but can you really trust it? Hidden bugs, unexpected outputs, and reliability issues are making verification more important than ever.

This edition looks at what’s working, what’s risky, and how businesses can adopt AI safely. You’ll discover why Deloitte warns about AI agent adoption outpacing safety, explore what’s new with Microsoft and how their Maia 200 accelerator is powering next-gen AI, learn why even powerful AI can fail, and uncover strategies for integrating AI safely into your workflows.

Plus, you’ll find tools for automating workflows without losing control, insights into Claude Code’s growing influence, and key events to keep your skills ahead of the curve.

📬 Found something useful or surprising? Hit reply and let’s compare notes.

News

Deloitte Sounds Alarm As AI Agent Deployment Outruns Safety Frameworks

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⚠️ A wake-up call for AI leaders: David Thomas highlights Deloitte’s warning that AI agent adoption is outpacing governance and safety controls, raising risks for security, accountability, and insurability. With adoption set to rise from 23% to 74% in two years, the report stresses that winning with AI isn’t about speed, it’s about strong guardrails, observability, and human oversight.

Maia 200: The AI Accelerator Built for Inference

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🚀 A powerful leap in AI inference. Scott Guthrie, Executive Vice President of Cloud + AI at Microsoft, introduces Maia 200, Microsoft’s most advanced AI inference accelerator yet. Built on TSMC’s 3nm process, it delivers leading FP4/FP8 performance, 30% better performance per dollar, and deep Azure integration, powering GPT-5.2, Copilot, and next-generation AI models at scale.

How AI Is Making Everyone Busier (for Better or Worse)

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🤔 A simple look at AI and productivity. According to a Forbes Technology Council panel, AI helps teams move faster, but it also increases the volume of work that needs human review. Mudit Singh, Co-Founder and Head of Growth at TestMu AI, notes that higher productivity leads to many more experiments and strategic choices, making human decision-making more critical than ever.

AWS Network Firewall Now Supports GenAI Traffic Visibility and Enforcement With Web Category-Based Filtering

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🛡️ Enhanced GenAI security for AWS users. AWS Network Firewall now offers visibility into generative AI traffic and supports web category-based filtering. Security teams can control access to GenAI tools, social media, streaming sites, and other domains, enforce consistent policies, and meet compliance requirements, all while reducing operational overhead. TLS inspection enables even more granular control.

AI

Quantifying AI Success: An Analysis of Generative AI Usage in Fusion Cloud Applications

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📊 How Oracle is using AI to drive results. Christian Rodriguez Jacobs, Principal AI Data Scientist at Oracle, explains how AI in Fusion Cloud Applications boosts productivity and task completion. Telemetry shows AI-assisted tasks, like goal creation and job profile authoring, have higher completion rates (78% vs 54%) and save significant time, demonstrating real impact.

Five Practical Ways To Use AI as a Partner in Quality Engineering

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🚀 Transforming QA with AI. Daria Tsion, QA Manager at Everlabs, shows how AI can be a true partner in Quality Engineering. Using role-based prompts, flaky test analysis, prompt chaining, production QA support, and a shared QA Prompt Library, structured AI guidance boosts efficiency, improves test quality, and helps testers think smarter, not just faster.

Adopting Agentic AI in 2026: 5 Things You Can Do Right Now

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Curious how to adopt agentic AI in 2026? Grace Wang, Product Marketing Manager at UiPath, shares five steps: structure your document data, safely experiment with AI agents, design processes around them, use process intelligence to spot impact, and set AI governance to scale safely.

Artificial Intelligence in Training: Uses & Benefits

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📚 AI is transforming employee training. Akanksha Kumari explains how AI makes learning more personalized and adaptive, tracks engagement, provides instant feedback, and identifies skill gaps. This helps employees learn faster, keeps them engaged, and enables organizations to scale training effectively while measuring real business impact.

The AI Trust Gap: Why Code Verification Matters

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Still unsure if you can trust AI-generated code? Ekaterina Okuneva reveals the paradox: 82% of developers say AI speeds up coding, but 96% don’t fully trust its output. Many find reviewing AI code harder than human-written code, with hidden bugs and reliability issues making verification the top skill in the AI era.

Automation

AI for Insurance Agents: How to Operationalize It

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😮‍💨 Struggling to keep up with claims, leads, and customer requests? Ashraf Samhouri shows how AI for insurance agents can handle it all. From automating lead qualification and claims triage to underwriting support and customer service, Activepieces connects AI to 621+ systems, boosting speed, accuracy, and agent focus.

What Is AI Integration | AI Business Integrations & Examples 2026

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😫 Frustrated by manually moving AI outputs between tools? Make.com explains how AI integration connects models to business systems, automates end-to-end workflows, routes tasks by type or complexity, transforms outputs for each system, and maintains full visibility, saving time, improving accuracy, and letting teams scale AI safely.

Tools

11 Ways To Use Zapier MCP

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🙄 Ever wish your AI could do more than just chat? Steph Spector explains how Zapier MCP connects AI assistants to 8,000+ apps and 30,000+ actions, letting them automate coding, research, content creation, and sales workflows. Stop copy-pasting, build multi-step, intelligent, and repeatable AI-powered processes that actually get work done.

Employee Support Automation Tools [+GenAI HR & IT Platforms]

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🤯 Curious how AI is reshaping HR and IT support? This AutomationEdge article explores the top 10 GenAI-powered employee support platforms, showing how they automate ticketing, onboarding, and workflows, provide 24/7 self-service, cut costs, and free teams to focus on strategic, high-impact work.

Video & Podcast

Podcast: Claude Code Is Taking Over (and We Don’t Hate It)

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🎙️ In this episode of AI for Humans, Anthropic CEO Dario Amodei discusses how Claude Code is taking over software workflows, from AI video editing to spinning up coding fleets. The episode also covers Anthropic’s prediction that AI will handle most software engineering soon, along with updates on Apple’s AI pin, Runway, and LTX Studio innovations.

Video: How We Automate Any Business With AI in 3 Steps

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🎥 This video by AI Founders explains why AI automations often fail, emphasizing that AI delivers real leverage only when paired with strategy, systems, and execution. It highlights the importance of structured frameworks and practical business applications to turn AI tools into scalable, effective solutions.

Events

Test Automation Summit | Bangalore, February 19, 2026

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🧪 Test Automation Summit 2026 – Join us on February 19 in Bangalore at Radisson Blu, Outer Ring Road, for a 1-day event featuring keynotes, talks, and panels on AI-driven and sustainable testing. Learn from industry experts, engage in team coaching, speaker discussions, and networking, and gain practical insights to enhance QA practices. Register now to connect with peers and advance your testing skills.