Staging environments in software development often create more problems than they solve, leading to wasted resources and delayed user feedback. The author argues that staging serves as a misalignment between developers and users, as any effort spent on deploying to staging doesn’t add value. By the time code reaches staging, issues may arise that force choices between shipping flawed software or reworking it. This inefficiency is amplified when multiple staging environments exist, resulting in poor developer experiences and increased cognitive overhead. The author advocates for a mono-environment model, where only production is used. This approach requires adopting practices that maintain quality and minimize risk. Key strategies include automated testing, using ephemeral local environments for quick feedback, and implementing feature flags to test new functionality in production without extensive risk. The emphasis on tools like test-driven development (TDD) and automated testing aims to ensure that quality is integrated from the start, rather than relying on a staging gate that often fails to reflect real-world conditions. Overall, the shift to a mono-environment fosters a quicker, more iterative development cycle that better aligns with user needs, especially vital for startups focused on achieving product-market fit. By streamlining the process and enhancing developer efficiency, teams can deliver value to users faster and with fewer roadblocks.