​How To Actually Get 10x Out Of AI Coding Tools (And Why Most Teams Don't)

Innovation​How To Actually Get 10x Out Of AI Coding Tools (And Why Most Teams Don't)ByAndrew Siemer,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)May 29, 2026, 06:15am EDTAndrew Siemer, Founder & CEO of Inventive Group, firefighter, veteran. We are a software product team that gets stuff done, brilliantly. getty​The AI productivity numbers everyone is talking about are real. 10x is achievable. Based on what I've seen, some teams are pushing well beyond that.Almost no one gets there by accident. The teams consistently capturing that leverage share something most companies don't yet: the discipline that makes any high-performing engineering team work.After 25 years inside enterprise software and two years running AI coding tools and agentic teams in production, the path is specific.What '10x' Actually Looks Like In ProductionThe wide range in reported AI productivity gains isn't random. A 2025 study of 300 engineers found AI adoption cut PR review cycle time by nearly a third. Our engagements with full guardrails land in that zone, with some pushing 5x to 10x once we layer agent orchestration on well-tested codebases.A METR randomized controlled trial found that experienced developers using AI tools without scaffolding actually slowed down by 19%. Same tools, different operating model. That gap isn't about AI being overhyped. It's about what separates the teams capturing leverage from the teams that aren't.Why The Difference Is Discipline, Not ToolingThe teams getting consistent 3x gains or more share three habits.The first is brutal clarity about what "done" means. AI agents mark work complete the moment the code might compile. Human engineers know "done" means tested, integrated, security-scanned and shipped to staging. Teams winning with AI build tha...