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Arvad AI Launches to Take Apps From Idea to Production

Arvad's new tool plans, writes, tests and deploys software in one workspace, aiming at the debugging that follows fast AI-written code.

Arvad AI co-founders Damilola Adekoya, in a white shirt, and Oluwaseun Akintola, in a light blue shirt, standing in a corridor
Image: Arvad AI

[ The short version ]

  1. 01Arvad AI has launched an AI tool that handles the whole build of a software product, from planning and requirement documents to code, tests and deployment, according to an announcement published on TechCabal.
  2. 02Founders Oluwaseun Akintola and Damilola Adekoya pitch it against "prompt-and-pray" coding, where AI writes code in seconds and teams then spend days fixing it.
  3. 03The company says every build targets 85% to 95% test coverage with OWASP security checks built in, and is offering enterprise teams a free one-month trial.

Arvad AI, co-founded by Oluwaseun Akintola and Damilola Adekoya, has launched what it calls an autonomous engineering partner: a tool meant to take a software product from a rough idea to a working, deployed application, rather than just generating code. The launch was announced on 29 October in a partner announcement published on TechCabal.

Its pitch targets a problem many teams now know well. AI assistants can write thousands of lines of code in seconds, but what follows is often days of debugging and rewriting, leaving technical debt that builds up faster than teams can clear it. Arvad calls this the "prompt-and-pray" cycle.

What Arvad does

Instead of starting with code, Arvad starts with context, according to the announcement. A user describes the product in plain language, Arvad refines the idea with them, writes product requirement documents in Google Docs and maps out the architecture before any code is written. Its website describes the rest of the flow: naming the project, marking the features that matter, generating code in the user's chosen stack, then breaking the plan into tasks with dependencies and a launch date.

Arvad then builds, tests and deploys inside the same workspace. The site lists frameworks it generates for, including Next.js, React, FastAPI and Django, and says it can connect the apps a team already uses and set up a database when one is needed. It positions itself as a replacement for several tools teams juggle today, naming Copilot, Jira, Playwright and Vercel among them.

85–95%
Test coverage Arvad says each build targets across unit, integration and end-to-end testsCompany claim, from the launch announcement
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The claims to test

  • Memory across sessions: Arvad says it learns how a team writes code and remembers decisions from earlier sessions, so later work keeps to the same security rules and business logic. The company calls this adaptive learning.
  • Quality by default: each build targets 85% to 95% test coverage, with security scans that enforce OWASP standards from the start, the company says.
  • Paperwork handled: Arvad says it writes documentation, tests and CI/CD pipelines on its own, leaving engineers to focus on core logic and architecture.

These are the company's claims; independent tests of the product have not yet been published. Arvad's website shows plans running from Free to Enterprise, priced in monthly credits, and the company is offering enterprise teams a free one-month trial.

"We are moving past the era where AI is just a better keyboard," Akintola said in the announcement. "It does not just write code; it understands the architectural DNA of a project."

  • #ArvadAI
  • #AIcoding
  • #developertools
  • #startups
  • #softwaretesting

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