Author name: Marcelo Acosta

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AI Pair Programming: How the Software Industry is Actually Responding

AI-powered coding assistants have become part of day-to-day development. GitHub Copilot, Amazon Q Developer, and ChatGPT are widely used. The shift began as a quiet experiment among individual developers. Now, it is starting to influence hiring practices, team dynamics, and software delivery itself. Developer Behavior and Expectations Surveys in 2024 confirmed that most developers had […]

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ZirconTech launches AI Agent solutions at eMerge Americas 2025, expanding on its web3 innovation journey

ZirconTech, a global leader in advanced software development, is proud to announce the launch of its AI Agent Solutions at eMerge Americas 2025, the premier global tech and innovation conference held annually in Miami. As a Silver Sponsor, ZirconTech will showcase how its cloud-native AI agents, built in partnership with Amazon Web Services (AWS), are

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Beyond the Algorithm: The Developer’s Roadmap for the Future

The rapid integration of algorithmic models into software development has brought about a significant shift, demanding a strategic recalibration for developers aiming to maintain their professional edge. Core programming and architectural skills, while foundational, now serve as a springboard for a broader, more specialized skillset. Writing clean, efficient, and maintainable code remains paramount, but it

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The On-Premise Resurgence: When Does It Make Sense?

The cloud’s long reign as the dominant infrastructure model is facing a challenge, as some organizations, most notably Basecamp, opt to return to on-premise solutions. This shift prompts a crucial question: when does this move make strategic sense, and when does it become a liability? The allure of the cloud, built on its promises of

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Developers: Guardians of Data Privacy

Developers hold the key to protecting personal information in today’s data-driven world. The vast digital trails we leave behind require strong safeguards, and developers possess the tools to ensure security. As data privacy laws tighten and public awareness increases, developers are central to shaping data privacy’s future. This responsibility goes beyond legal compliance. Developers must

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Fortifying Blockchain Applications: Essential Safety Measures and the Importance of Expertise

The rise of blockchain technology has opened new avenues for innovation, promising secure and transparent solutions for various industries. However, the decentralized nature of blockchain, coupled with the complexities of cryptography and smart contracts, introduces unique security challenges. Building a robust blockchain application requires meticulous planning and a deep understanding of the underlying technology. Security

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AWS Updates: Key Enhancements for Data, Security, and AI

AWS continues to push the boundaries of cloud computing, with recent updates that offer significant benefits for businesses across various sectors. Here are three key announcements that IT leaders should be aware of: 1. Enhanced Data Streaming with Amazon Data Firehose Expansion Amazon Data Firehose has expanded its regional availability, now including AWS Asia Pacific

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Protecting GenAI Applications: Addressing the Dangers of AI-Generated Code

Generative AI (GenAI) has surged into the forefront of technological innovation, promising unprecedented advancements in efficiency and capability. However, with this rapid adoption comes a critical need for IT business leaders to address security concerns, particularly those surrounding AI-generated code. While the allure of accelerated development cycles and reduced reliance on human developers is strong,

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The hippocampus (blue region inside a cortical hemisphere) is a brain structure crucial for forming new memories. Hippocampal-inspired models in AI aim to replicate its ability to rapidly learn and recall sequences of events.

Modular AGI and Hippocampal-Inspired Memory Models: A Path to Scalable Intelligence

Modular AGI refers to an architecture for artificial general intelligence built from multiple specialized components or modules, rather than one monolithic system. In a modular design, each module focuses on a distinct cognitive function (such as vision, language, memory, or decision-making) and the modules work in cohesion to produce intelligent behavior​. This differs from traditional

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Blockchain and Cryptocurrency in Retail Banking: Transforming the Financial Sector

Blockchain technology has emerged as a foundational innovation in modern finance. At its core, a blockchain is a decentralized, distributed ledger that records transactions across a network of computers. Because each record (or “block”) is linked to the previous one and secured through cryptography, the data becomes tamper-evident and highly transparent. In other words, no

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