Devfab is the software factory around your coding agents. Give it an idea or an SRS: agents research, plan, design, code, test and deploy it, then keep fixing it from customer feedback. You approve the plans.
Research
requirements drafted
Planner
plan awaiting you
Dev x3
3 tickets in parallel
QA
model-free tests
Built and improved by 2 human developers using Devfab. 122,000 lines. 1,890 backend tests.
Requirement, research, plan, design, code, test, deploy, feedback, fix, notify. Coding tools stop at a pull request. Devfab does not.
Research agent
Idea to requirements
auto
Planner
Tickets and design flow
you approve
Dev agents
Parallel, no limit
isolated containers
QA + test engine
Real browser, no AI in loop
same input, same verdict
Coordinator
Deploy to your server
you review
Customer reports an issue > Coordinator triages > Dev agent fixes > reporter is notified. Back into the stages above.
Say AI adds coordination work
71%
Adaptavist via SD Times, Jun 2026
Always review AI code before deploy
11%
Same source
AI code samples failed OWASP tests
45%
Veracode 2025
Costs are hard to predict as tools move from seats to usage pricing (Gartner). Devfab answers each with one governed, measurable process.
A Research agent turns a one-sentence idea into full requirements and a working app. No technical co-founder, no spec.
Planner, Coordinator, Dev and QA agents. No limit on Dev agents.
Jira-style tasks and statuses, updated by agents. Team Delivery Reports.
Admin portal: who can see and change each workspace and project.
Turn an idea into requirements, a design flow and a tested MVP without writing code.
| Capability | Coding agents | Autonomous agents | App builders | Jira | Devfab |
|---|---|---|---|---|---|
| Automates | Code in a dev session | Coding tasks and tickets | Prototypes from prompts | Nothing, it tracks work | The full lifecycle |
| Ends at | A pull request | A merged PR | A demo or hosted app | A closed ticket | Issue fixed, reporter notified |
| QA and testing | Depends on setup | Depends on setup | Not native | None | QA agent plus model-free engine |
| Delivery reporting | No | Usage analytics | Adoption insights | Ticket reports | Team Delivery Report |
| Feedback loop | No | No | No | Via JSM, separate | Built in: triage, fix, notify |
| Cost visibility | Seat plus usage | Seat plus usage | Varies by request | Seat | Per task and per project |
Keep Claude Code, Cursor or Copilot for individual work. Devfab adds the factory around them. Public information as of Oct 2026.
Tracy, AI interviews
33,511
completed interviews in production at Turing, 11,850 assessment hours
Completion
94%
completion rate. SOC 2 Type II (Jul 2026)
Platform
1,890
backend tests and 68 design docs, each written before its feature
Team
2
human developers build and improve Devfab using Devfab
Also built on it: AI talent matching, RockAPI (data enrichment) and an end-to-end recruitment platform for a Japanese enterprise.
Code stays in your GitHub. Agents work in isolated containers under credentials you issue and can revoke.
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