For the last 40 years or so, software development tooling has centered around the IDE — the integrated development environment. Borland is widely credited with bringing the IDE to the masses. The joining of the editor, compiler, and debugger into a single entity revolutionized the software development industry. The popularization of the IDE through the likes of my beloved Turbo Pascal in the mid-1980s marked a huge turning point for coding.
But the IDE’s reign is over. With the unbelievably rapid rise of agentic coding, the IDE has become an afterthought, a tool that developers are finding they use less and less. Instead, developers are spending time managing agents that are actually writing the code.
Things are moving pretty fast, changing monthly if not weekly. It was only a few months ago that I was building things inside my IDE with an agent’s help. But before long, I had four or five console windows open, working on different projects all at the same time as the agents ground aw
AI-driven coding could revolutionize software development, drastically reducing costs and timelines, but raises concerns about code quality and security.
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SpaceXAI has launched Grok 4.5, pitching the model to developers and enterprises trying to control the rising cost of AI-assisted software development.
In a statement, the company said the model is priced at $2 per million input tokens and $6 per million output tokens. It said the model is built for coding and agentic work, runs at 80 tokens per second, and uses fewer tokens than comparable models on some software engineering tasks.
Grok 4.5 is available through the SpaceXAI console and Grok Build. It is also available in Cursor, the AI coding tool made by Anysphere, giving SpaceXAI a route into a development environment already used by programmers rather than only competing through an API. SpaceXAI said EU availability is expected in mid-July.
In June, SpaceX, which owns SpaceXAI, said it was buying Anysphere, the startup behind Cursor, in a deal aimed at strengthening its position in enterprise AI tools. In a separate statement, Cursor said that Grok 4.5 was trained jointly with Spac
SpaceXAI has launched Grok 4.5, pitching the model to developers and enterprises trying to control the rising cost of AI-assisted software development.
In a statement, the company said the model is priced at $2 per million input tokens and $6 per million output tokens. It said the model is built for coding and agentic work, runs at 80 tokens per second, and uses fewer tokens than comparable models on some software engineering tasks.
Grok 4.5 is available through the SpaceXAI console and Grok Build. It is also available in Cursor, the AI coding tool made by Anysphere, giving SpaceXAI a route into a development environment already used by programmers rather than only competing through an API. SpaceXAI said EU availability is expected in mid-July.
In June, SpaceX, which owns SpaceXAI, said it was buying Anysphere, the startup behind Cursor, in a deal aimed at strengthening its position in enterprise AI tools. In a separate statement, Cursor said that Grok 4.5 was trained jointly with Spac
AI-powered software development tools integrate with your IDE and codebase, helping you to write, refactor, and fix code faster. These tools also make it fast and easy to create and run unit tests and integration tests — tasks that take more time when done manually.
Today, .NET developers often use GitHub Copilot, Claude Code, Cursor AI, and even AI chatbots like ChatGPT to generate code. In this article, we’ll cover some best practices you should follow when using AI to generate your C# code.
Challenges of using AI-generated code
While AI can write code for you, often the generated code does not work as intended. AI may generate code that contains logic errors, bugs, or security vulnerabilities, or code that doesn’t conform to your organization’s coding conventions or quality standards, or code that isn’t compatible with existing architecture. Further, AI may generate code that runs slowly or fails to run at all.
These are some of the key challenges organizations face when using AI-ge
Anthropic's reliance on AI for code generation highlights the shift in software development dynamics, raising questions about quality and trust.
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AI's ability to autonomously reimplement complex software suggests a transformative shift in software development, with economic implications.
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Unless you’ve been living under an old woodpile in your backyard, you have certainly seen how agentic coding is rocking the software development world. Things are happening fast and furious, and keeping up is practically a full-time job.
The latest area that is catching the attention of developers is how agentic coding is affecting the open source community. The open source movement has been defending the rights of folks to use, change, and contribute to software for many years. And of course, agentic coding is starting to become part of that process.
On the one hand, maintainers of open source projects rightfully are frustrated as they become overwhelmed with pull requests of dubious quality and usefulness being submitted by coding agents. On the other hand, as David Heinemeier Hansson notes, maintainers are starting to get a little snooty about accepting AI-written code, viewing it as somehow not worthy of being included. Some organizations have explicitly banned AI-generated submis