To avoid disrupting existing enterprise customers and being disrupted themselves, Sourcegraph launched a new brand, AMP. This freed them from Kodi's contracts, customer expectations, and release cycles, enabling a much faster, more radical development pace for their new coding agent.
Warp's explosive growth wasn't just about adding AI; it was about reframing their identity. The turning point came when they stopped being a "terminal with AI features" and became an "agentic development environment." This strategic repositioning made AI the core value proposition, not an add-on, which unlocked rapid market adoption.
Instead of trying to convert skeptics, AMP focuses exclusively on users already at the frontier of AI adoption. They believe that building for someone who doesn't know how to prompt well forces them to build simplistic features and fall behind the pace of innovation.
Don't just sprinkle AI features onto your existing product ('AI at the edge'). Transformative companies rethink workflows and shrink their old codebase, making the LLM a core part of the solution. This is about re-architecting the solution from the ground up, not just enhancing it.
Vercel created a separate business unit for its AI tool, V0, because it targets a different audience (PMs, designers) and needed to operate with extreme speed, unburdened by the decision-making processes of the larger 700-person parent company.
In AI-native companies that ship daily, traditional marketing processes requiring weeks of lead time for releases are obsolete. Marketing teams can no longer be a gatekeeper saying "we're not ready." They must reinvent their workflows to support, not hinder, the relentless pace of development, or risk slowing the entire company down.
The pivot from Arc to Dia was also a cultural and technical reset. The Browser Company gave their team a "blank page," allowing engineers to build a new, faster architecture and designers to rethink the experience. This chance to fix old problems and pursue new ideas was key to getting team buy-in.
Coca-Cola failed with ZICO not by changing its core quality, but by stripping away its ability to adapt. Large corporate systems, built for consistency at scale, enforce rigid processes that stifle the very nimbleness that made a challenger brand successful.
The AMP team is small and agile, bypassing traditional processes like code reviews to ship 15 times a day. They leverage Sourcegraph's customer trust, revenue, and platform teams (e.g., security), allowing the core team to focus purely on product velocity and radical innovation.
The AMP team believes that accommodating popular user requests like model choice or 'bring your own key' would slow their ability to innovate. They argue that their target users ultimately prefer a superior, opinionated product over peripheral features, even if they ask for them.
Historically, developer tools adapted to a company's codebase. The productivity gains from AI agents are so significant that the dynamic has flipped: for the first time, companies are proactively changing their code, logging, and tooling to be more 'agent-friendly,' rather than the other way around.