Operations | Monitoring | ITSM | DevOps | Cloud

Building Smarter: How AI is Changing Development

The tech industry is on the cusp of a revolution, driven by the rapid adoption of AI and Gen AI. At Civo Navigate London 2025, Josh Mesout (Chief Innovation Officer at Civo) explored the ways in which enterprises are leveraging these technologies to drive productivity and innovation. The conversation highlighted the challenges of scaling and running AI, including infrastructure bottlenecks and data access issues, but also showcased the potential for AI to transform industries and business models.

AI Software Development Solutions: Transforming Modern Business

Artificial intelligence is no longer a futuristic concept-it has become a critical driver for businesses across all industries. Companies that embrace AI can streamline operations, unlock valuable insights from data, and innovate faster than their competitors. By leveraging ai software development solutions, organizations can automate routine tasks, accelerate product development, and improve decision-making. These solutions are increasingly central to digital transformation strategies, giving businesses a competitive edge in a rapidly evolving marketplace.

Protecting Production from a VP

The rise of AI coding assistants means new "developers" in many organizations. Your safety nets (and on ramps) need to be built with citizen developers in mind. Innovation is moving faster than ever. That’s great. With AI code generation accelerating professional developers and the rise of "citizen developers" thanks to tools like vibe-coding, we’re seeing more code written today than ever before.

PHP in 2025: Is It Still Relevant for Modern Web Applications?

Every few months, the same debate comes up in developer communities. "Should we still be using PHP?" The question usually carries doubt, as if PHP is some old relic we're embarrassed to use. This perception is wrong. PHP currently powers the vast majority of websites with a known server-side programming language. This includes platforms that handle massive user bases daily. But usage numbers only tell part of the story. The real question for businesses in 2025 is different. Does PHP deserve serious consideration for new projects?

Supercharge Developer Productivity with the New Harness Code Experience

Smarter PR Reviews: Inline comments, keyboard shortcuts, and faster diffs reduce context switching. Optimized for Scale: Instant file tree and change listing performance even in large monorepos. Seamless Navigation: Effortlessly move between branches, commits, and repos without losing context. Unified Design System: A consistent, intuitive UI across the entire Harness platform. At Harness, we know developer velocity depends on everyday workflow.
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A Developer's Guide to Improving AI Code Reliability

You've probably been there: your AI coding assistant just generated what looks like a perfect solution to your problem. Decent code quality, reasonable structure, and even some comments. You run it, and... it works. So you ship it. Three weeks later, your production logs are full of 500 errors from edge cases the AI never considered, or worse, you discover the code has been making unvalidated database calls that could have been prevented with basic input sanitization.

Real Estate App Development for Ops & Product Teams: From MVP to Scale

In the competitive world of real estate technology, developing an app that can scale from a Minimum Viable Product (MVP) to a fully-fledged solution is crucial. For operations and product teams, this journey involves strategic planning and execution to ensure the app meets evolving market demands and user expectations.

NHibernate vs ADO.NET: Which Is Better for .NET Development?

NHibernate vs ADO.NET is the classic clash in.NET development: raw SQL muscle on one side, high-level abstraction on the other. One promises speed and precision, the other productivity and cleaner code. For most.NET teams, the real challenge here is determining which approach best suits their project’s scale, timeline, and goals. That choice directly influences database efficiency, developer productivity, and long-term stability.

The Developer's Guide to Debugging AI-Generated Code

AI coding tools like ChatGPT, GitHub Copilot, and Claude have completely changed how we write software. From humble beginnings where non-AI-enabled code assistants made intelligent code suggestions, like Intellisense, the latest agentic tools can generate entire functions, suggest optimal algorithms, and even scaffold complete applications in minutes. However, as any developer who’s worked with AI-generated code knows, the output isn’t always perfect.