ai dev tools for companies vs individual devs are completely different products and we need to stop comparing them

<!-- SC_OFF --><div class="md"><p>I keep seeing threads where someone asks &quot;what&#39;s the best Al coding tool?&quot; and the answers are always Cursor, Copilot, maybe Claude. And for individual developers those are all great answers.</p> <p>But I manage engineering at a company with 300 developers across 8 teams and the &quot;best&quot; tool for us is completely different because the criteria are completely different.</p> <p>What individual devs care about: raw Al quality, speed of suggestions, how magical it feels, price for one seat.</p> <p>What companies actually care about: where does our code go during inference? what&#39;s the data retention policy? can we control which models each team uses? can we set spending limits? does it integrate with our SSO? can we see usage analytics? does the vendor have SOC 2? can we run it on-prem if we need to? does it support all the IDEs our teams use, not just VS Code?</p> <p>The frustrating part is that the tools that are &quot;best&quot; for individuals are often the worst for enterprises. Cursor is amazing for a solo dev but it requires switching editors, has limited enterprise controls, and is cloud-only. ChatGPT is incredible for one-off code generation but has zero governance features.</p> <p>Meanwhile the tools built for enterprises often have less impressive raw Al capabilities but solve all the governance and security problems that actually matter when you&#39;re responsible for 300 people&#39;s workflows and a few million lines of proprietary code.</p> <p>I wish the community would stop treating this as a one-dimensional &quot;which Al is smartest&quot; comparison and start acknowledging that enterprise needs are fundamentally different.</p> </div><!-- SC_ON --> &#32; submitted by &#32; <a href="https://www.reddit.com/user/No-Pitch