The Agentic Revolution: Who’s Really Writing Tomorrow’s Code?
How autonomous AI workflows are reshaping every layer of software development — and why the answer to “will AI replace developers” is more nuanced than the hype. $52B Agentic AI market by 2030 40% Enterprise apps with AI agents by end 2026 (Gartner) 41% Of all code now AI-generated 1,445% Surge in multi-agent system inquiries…
Read more
POSTED BY
Jayeesha Das
Introducing .NET 10 – What Every Developer Should Know
Microsoft has officially launched .NET 10 in November of 2025, which is the latest version of the .NET platform and is classified as the long-term support release valid until November 2028. This is one of the most important releases in a number of years. The focus is on performance improvements, new language capabilities, and enhancements…
Read morePOSTED BY
Jayeesha Das
Insights from My 3 Years of Software Testing Experience
Introduction In today’s competitive software landscape, delivering a reliable and high-quality product is essential—and organizations like Payoda, known for their end-to-end digital and quality engineering services, exemplify this commitment to excellence. With three years of hands-on experience in software testing, I have learned that testing is not just about identifying bugs—it is about ensuring the…
Read morePOSTED BY
Jayeesha Das
Kafka Lag in Production
Imagine a production system where events are being generated every second, but the services responsible for processing those events slowly start falling behind. Messages begin piling up in the queue, dashboards show increasing delays, and downstream systems stop receiving real‑time updates. In many Kafka-based systems, this situation appears as one common operational issue: consumer lag.…
Read morePOSTED BY
Jayeesha Das
The Angular Renaissance: Signals, Zoneless, and the GenAI Frontier
1. Introduction: The Performance Paradox Enterprise developers are currently drowning in legacy Angular applications that struggle with performance bottlenecks and outdated change detection mechanisms. The traditional Zone.js approach, once revolutionary for its “magic” reactivity, now creates unpredictable performance patterns that simply cannot compete with 2026 web standards. As applications grow in complexity, the “check-everything” nature…
Read morePOSTED BY
Jayeesha Das
AI-Powered Search in .NET with Elastic + ML.NET
Introduction: Modern digital platforms rely heavily on intelligent search to deliver precise results instantly. Traditional keyword-based search systems, however, often fail to grasp the meaning behind a user’s query. For example, a user searching for “budget-friendly noise-cancelling earbuds” may receive unrelated premium listings because the engine matches keywords rather than context. The fundamental limitation lies…
Read more
POSTED BY
Priyadharshini
Shielding Insurers: Intelligent Fraud Detection
“Every act of fraud weakens a system; every act of integrity strengthens it.” Introduction: Fraud is any intentional act of deception carried out to gain an unfair or unlawful advantage. In industries such as insurance, banking, and financial services, where organizations increasingly rely on data-driven decision-making and digital workflows, detecting and preventing fraud has become…
Read morePOSTED BY
Priyadharshini
10 AI & ML Trends for 2026: Insights from Payoda’s Experts
Introduction: As businesses move toward an entirely intelligent digital ecosystem, AI trends 2026 are bound to redefine every industry, whether it is manufacturing and retail or healthcare and finance. Organizations that once saw AI as an experimental capability are now treating it as a core pillar of competitive advantage. However, with rapid innovation comes an…
Read morePOSTED BY
Jayeesha Das
AI and Work in the Future: Job and Labour Force Impact
Introduction: Artificial Intelligence is no longer an idea confined to futuristic films or advanced research centers. It has slowly blended into the routine activities of everyday life. From voice assistants like Siri and Alexa to the personalized suggestions we see on platforms like Netflix, AI silently supports many of the choices we make throughout the…
Read morePOSTED BY
Priyadharshini
Payoda’s AI Success Formula: What Executives Need to Know in 2026
Introduction: 2026 has become the defining year for enterprise AI. For many C-suite leaders, the challenge is no longer convincing stakeholders of AI’s potential but establishing a clear and repeatable path to profitable outcomes. Despite growing investments, a surprisingly small fraction of enterprise AI initiatives reach full-scale deployment. However, to say that technology is the…
Read morePOSTED BY
