The greater DevOps industry is not meeting our needs while App Platforms are not fully mature.
Three industries. Three kinds of engineer.
The traditional model of application development required specialized engineering teams to manage massive infrastructure hurdles. For decades, the existing DevOps ecosystem relied heavily on three core pillars, each acting as its own dedicated industry with specialized professionals:
One person, one tab, all three.
App platforms such as Airtable, Glide and Notion abstracted the infrastructure away. AI builders like v0, Bolt.new and Lovable went further: with “vibe coding”, anyone can describe a full-stack app in plain text and ship it in minutes.
Speed without stability is a liability.
Platforms and AI builders ship in minutes, often without the guardrails.
Airtable
Glide
Notion
Bolt
v0
Lovable
···
- Environmentsedit live, or nowhere
- Backupsnone you can restore
- Code reviewAI writes, nobody reads
- Monitoringyou hear it from users
This is where The DevOps for App Platforms (DOAP) Alliance steps in.
- A benefit corporation
Formed to fill this gap, with the mission written into its charter.
- Platforms are engineering
Building with AI and app platforms is modern software engineering.
- No magic prompt
Nothing replaces a secure project structure, a documented change workflow, a stable production pipeline.
Our standardOur anchored foundation.What we stand to promote among the industry as a whole.
- 01
Processes over living in production
The reality
Making live updates to an active database, or letting an AI agent write directly to production code without a safety net, creates massive operational risks.
The DOAP standard
We advocate for structured workflows that separate development from live production data. Even when platforms lack native environment tools, DOAP professionals strive to implement intentional staging, duplication, and verification processes before changes touch active business users.
- 02
Code review and architecture over “vibe coding”
The reality
Throwing high-level prompts at an AI and blindly accepting whatever it spits out creates unmaintainable, insecure software.
The DOAP standard
AI is a force multiplier, but human judgment remains in the loop. We champion structured context engineering, auditable deployment trails, and rigorous review processes over raw generation speed.
- 03
Proactive monitoring over blind trust
The reality
Realizing an automation pipeline, a critical database, or an AI-generated API route is broken only after a customer complains is an operational failure.
The DOAP standard
Automated systems require automated oversight. We advocate for the implementation of centralized error logging, automated unit tests, and real-time alerts across all application platform pipelines.
- 04
Upward economic mobility over tech gatekeeping
The reality
Traditional tech culture often dismisses application platform builders and AI creators as “non-technical”, keeping them locked out of high-paying engineering roles.
The DOAP standard
We break down these artificial barriers. By training and certifying builders in elite DOAP methodologies, we transform self-taught creators into highly sought-after Application Platform Engineers and DevOps Professionals capable of commanding enterprise-grade compensation.