Insights
Original research and market analysis on how software gets built, and where it's going next.
When anyone can build, the new constraint is building safely
AI collapsed the cost of coding, but the infrastructure that makes it safe hasn't kept up. See why platform governance is now the critical constraint.

Rebecca Dodd

The State of AI Governance in 2026
307 CTOs, CIOs, and CISOs weigh in on vibe coding, shadow AI, and the gaps in internal tool governance. See what's breaking and what needs to change.

Kelsey McKeon

What happens after AI builds your prototype?
AI-generated apps skip security fundamentals. Learn why resource-level governance is the only model that scales for enterprise teams.

Ryan Wong

Most AI automation efforts stall. Governance clears the bottlenecks.
Most AI automation stalls before it scales. See why governance is the real bottleneck and learn what automated organizations are doing differently.

Sean Allen

Picking the right AI app builder in 2026
A guide for engineering and operations teams evaluating AI app builders for internal tools—and why most comparisons start from the wrong tier.

Retool Team

Enterprise application development tools: what enterprises actually need
Enterprise application development tools help organizations build secure, scalable software for real business workflows. Learn what makes tools enterprise-grade, how teams evaluate them, and what matters in the AI era.

Retool Team

The build vs. buy shift: how vibe coding and shadow IT have reshaped enterprise software
35% of teams have replaced SaaS with custom AI tools. Explore 817 Retool builders’ insights on vibe coding, shadow IT, and automation.

Kelsey McKeon

The top vibe coding tools for 2026: From AI assistants to enterprise app builders
A clear comparison of vibe coding tools in 2026—CodeGen, AppGen, and enterprise platforms—and when Retool is the right fit for production apps.

Will Harris

The building revolution: 2025 builder report
Survey of 1,128 builders reveals how enterprise AppGen democratizes software, with 48% of non-engineers building production-ready solutions independently.

Kelsey McKeon

AI workflows vs. agents: Similarities, differences, and when to use each
Learn when to use AI agents vs workflows for automation. Compare control flow, debugging, costs, and use cases to choose the right approach—or combine both for optimal results.

Rebecca Dodd

Agent architecture: How AI decision-making drives business impact
Curious how AI agents actually work? This guide breaks down agent architecture, shows how LLMs make decisions, and explains what it takes to build agents you can trust.

Kent Walters

The true cost of AI agents: a case for hourly pricing
Learn why hourly pricing makes the cost of AI agents transparent, predictable, and easier to justify to your business.

Todd Paoletti
