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Software Development and Best Practices

Generative AI Goes Mainstream: Co-Creating Software with AI Code Assistants

Posted on September 19, 2025September 19, 2025 by Daniel Valiquette

Generative AI is reshaping software development. It’s no longer about “if” or “when,” but about “how” to adopt these intelligent assistants into daily workflows. Beyond mere automation, human-AI collaboration accelerates productivity, boosts code quality, and transforms every stage of the development lifecycle. Discover how to leverage this new era, where innovation emerges from true co-creation between developers and artificial intelligence.

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Why Code Reviews Are Essential and How to Optimize Them

Posted on May 6, 2024 by Daniel Valiquette

Code reviews are a cornerstone of modern software development, promoting quality, collaboration, and continuous improvement. Whether you’re working in a small startup or a large enterprise, taking the time to review each other’s code can yield significant benefits—from catching bugs early to sharing knowledge across the team. But what exactly makes code reviews so valuable, and how can you optimize the process to avoid bottlenecks and frustration?

In this article, we’ll look at why code reviews matter, the benefits they provide, and best practices to make them efficient and productive.

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Microservices Explained Simply: Pros and Cons

Posted on April 2, 2024February 26, 2025 by Daniel Valiquette

Microservices have become a buzzword in modern software architecture, touted by tech giants and startups alike for their scalability, flexibility, and resilience. But what exactly are microservices, and are they always the right choice for every project? In this article, we’ll break down the core concept of microservices, explore key advantages and potential drawbacks, and offer guidance on whether you should adopt a microservices architecture for your next project.

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How to Balance Technical Debt and Speed in Agile Development

Posted on January 8, 2024 by Daniel Valiquette

Agile development promises fast delivery of features, quick feedback loops, and the ability to adapt to changing requirements. But in the race to deliver, many teams accumulate technical debt—the additional work needed when shortcuts are taken. If left unchecked, technical debt can slow development to a crawl, introduce bugs, and inflate maintenance costs. So how do you balance the drive for speed with the need to keep your codebase clean and maintainable?

In this article, we’ll delve into what technical debt is, why it’s not always bad, and how Agile teams can effectively manage it without sacrificing their ability to deliver quickly.

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Clean Code vs Clean Architecture: What’s the Difference and Why Does It Matter?

Posted on September 2, 2023 by Daniel Valiquette

When developers talk about writing “clean code,” they’re usually referring to code that’s readable, maintainable, and easy to understand. But how does this concept differ from Clean Architecture, which focuses on organizing the overall structure of your application? While both are critical to high-quality software, they address different layers of the development process.

In this article, we’ll explore what clean code entails, break down the fundamentals of Clean Architecture, and explain why embracing both concepts leads to better, more maintainable software.

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Will No-Code and Low-Code Replace Developers?

Posted on November 23, 2020March 5, 2025 by Daniel Valiquette

No-code and low-code platforms have gained significant momentum in recent years, promising to streamline software creation and enable non-technical users to develop applications. But what do these tools really mean for professional developers? Will they eliminate the need for coding expertise, or do they simply augment traditional development methods?

In this article, we’ll explore what no-code and low-code platforms are, how they’re transforming the software development landscape, and why skilled developers will remain crucial—even as these platforms evolve.

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  • September 19, 2025 Generative AI Goes Mainstream: Co-Creating Software with AI Code Assistants

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