Pro ‘Never let the builder be its own reviewer’: The next challenge is trust, not speed of code generation Features By Desire Athow Contributions from Craig Hale published 26 June 2026 AI coding platforms are evolving from tools to crucial infrastructure When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works . (Image credit: Shutterstock/TippaPatt) Copy link Facebook X Whatsapp Reddit Pinterest Flipboard Threads Email Share this article 0 Join the conversation Follow us Add us as a preferred source on Google Newsletter Subscribe to our newsletter The AI industry may have found its next battle, and it’s not model training, GPU availability or data centers expansion. It’s actually how artificial intelligence is being framed in the first place. For the past couple of years, AI coding assistants have been marketed as productivity boosters, promising to help across code generation, debugging and testing. But the recent SpaceX acquisition of AI coding platform Cursor shows just how important AI coding systems can be in AI. While coding tools are generally considered from the developer’s point of view, software generation is increasingly being seen as a strategic capability for future autonomous systems. Latest Videos From Watch full video here: Whether managing infrastructure, coordinating logistics or automating business processes, tomorrow’s coding agents will need to create, edit and maintain software instead of just helping developers to write code. AI’s impact on code generation is trust In other words, AI coding agents are less about being tools and more about being infrastructure layers through which organizations can build, operate and even govern their tech – similar to how we see cloud, networking and security today. You may like Software 3.0 is speeding up coding – but delivery is a different story AI has slashed coding time in 2026, but it’s sacrificed software stability Nearly all security bosses are still worried about AI safety But in dehumanizing software generation, we’re uncovering the next challenge. Software development used to be limited by the speed at which humans can review, test and validate code before it goes into production, but it’s now all about trust and verification. With AI now capable of generating code at lightning pace, questions around quality, security, compliance and governance are now being raised. Are you a pro? Subscribe to our newsletter Sign up to the TechRadar Pro newsletter to get all the top news, opinion, features and guidance your business needs to succeed! Contact me with news and offers from other Future brands Receive email from us on behalf of our trusted partners or sponsors By submitting your information you agree to the Terms & Conditions and Privacy Policy and are aged 16 or over. Acknowledging that code generation has been vastly democratized, Qodo CEO Itamar Friedman now believes what sets companies apart will be verification and governance. The winners will be the ones to deploy trustworthy software at scale, not the ones to launch it fastest. To better understand what SpaceX’s Cursor acquisition means for the future of software engineering, how AI coding platforms are evolving from tools to infrastructure, and how we can tackle the next bottleneck that is trust, I spoke with Friedman. Does this acquisition signal that AI coding tools are becoming strategic infrastructure rather than just developer productivity tools? Yes, and the price tag makes it explicit. You don’t just pay $60B for a productivity feature, you pay that price to have complete control over the coding mechanism your engineering teams run every day. What to read next AI code security risk: The need for a smarter layer between detection and remediation From fragmentation to flow: Rethinking modern software development What AI coding benchmarks still miss about software quality When the tool sits in the path of every change that ships, it is infrastructure, with
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