AUTONOMOUS SOFTWARE LIFECYCLE

From idea to shipped.

Coding agents automate the developer. Devfab automates the lifecycle: AI agents research, plan, code, test and deploy your app, then fix it from customer feedback.

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DEVFAB

An idea moving through six squares to shipped, with the orange square returning as a fix ticket
2 APPROVALS
FIX SHIPPED

Agents do the work. You approve twice.

THE BOARD

Ticket DEV-212 is a customer fix. It travels the board by itself.

BACKLOG

DEV-209 Invoice export

billing . planned

DEV-210 SSO login

auth . planned

DEV-212 Checkout error

from customer feedback

DEV AGENTS

DEV-208 Search filters

agent-2 . coding

QA AGENT

DEV-207 Rate limiter

UI, flow, unit tests

YOU REVIEW

nothing merges blind

DEPLOYED

DEV-205 Dark mode

live on your server


HOW IT WORKS

One loop. Two sign-offs.

Scroll through the six steps. You decide at two of them.

STEP 01 OF 06

Plan

AGENTS

The Research agent writes the requirements. The Planner agent builds the plan.


From an idea or an SRS.

STEP 02 OF 06

You approve

HUMAN CHECKPOINT 1

Plan sign-off. You read the plan, answer the agents' questions and approve it.


No plan runs without you.

STEP 03 OF 06

Build

AGENTS

The Coordinator assigns tickets. Dev agents code, using ChainFlow to see what calls what.


Many agents in parallel.

STEP 04 OF 06

Test

QA AGENT

The QA agent runs UI, flow and unit tests. Fixed scenarios run in a real browser with no AI model in the loop.


Same input, same verdict. A passing test costs no tokens.

STEP 05 OF 06

You review

HUMAN CHECKPOINT 2

You review the change before it merges.


Nothing merges blind.

STEP 06 OF 06

Ship and loop

SYSTEM

Deploy to your server. Customer feedback comes in, the Coordinator sorts and prioritizes it, a fix ticket goes back to the Dev agents, and the reporter is notified when the fix ships.


FEEDBACK > FIX TICKET > BACK TO BUILD

WHAT YOU GET

Idea to prototype

RESEARCH + DESIGN

One sentence or an SRS becomes requirements, MVP, blueprint, hi-fi design, design and sequence flows, and a user manual.


Validate in days, not months.

AI delivery team

AGENTS

Planner, Coordinator, Dev and QA agents with clear roles. No limit on Dev agents.


Scale without hiring.

QA and code map

QUALITY

UI, flow, logic and unit tests, fixed scenarios in a real browser. ChainFlow maps what calls what.


Same input, same verdict. A passing test costs no tokens.

Run it

TEAM

Existing codebases, tickets updated by agents, cost per task and project, delivery reports, an admin portal.


No separate tracker. No surprise bills.


WHY DEVFAB

AI made writing code fast. Not shipping it.

Developers say AI adds coordination work

0%

Adaptavist via SD Times, Jun 2026

Teams always have a human review AI code

0%

Adaptavist via SD Times, Jun 2026

AI code samples failed OWASP security tests

0%

Veracode 2025, via Axis Intelligence

Costs are hard to predict as AI tools shift from seats to usage pricing (Gartner). Devfab answers each of these with one governed, measurable process from idea to customer feedback.

HOW DEVFAB COMPARES

Coding agents make a developer faster. App builders make prototypes fast.

Devfab runs the whole lifecycle around the agent: planning, building, testing, deploying and fixing from feedback.

How Devfab compares with other tools
DimensionCoding agents (Claude Code, Cursor, Copilot)App builders (Lovable, Replit)Devfab
AutomatesWriting and editing code in a developer's sessionPrototypes and internal tools from promptsThe full lifecycle: requirement → plan → code → test → deploy → feedback → fix
Main userDevelopersMostly non-technical buildersThe whole team, technical or not
Ends atA change or pull requestA demo or hosted appThe customer's issue fixed and the reporter notified
Planning & tasksSeparate tool neededBasic (Replit has a Kanban board)Planner + Coordinator create, assign and update tickets
QA & testingDepends on your setupNot a native featureQA agent plus a model-free test engine
Delivery reportingNoAdoption insightsTeam Delivery Report per team and project
Customer feedback loopNoNoBuilt in: triage → fix → notify
Cost visibilitySeat plus usageCredits that vary by requestLogged after each run; cost per task and per project
Typical price (per month)Claude Code Team $25–$125/seat; Cursor Teams $40–$120/user; Copilot Business $19/userLovable Business $50; Replit Pro $100+Pricing on request

Already using Claude Code, Cursor or Copilot? Keep them for individual work. Devfab adds the factory around coding agents, and you can choose the model each agent uses. Competitor features and prices change often; this reflects public information as of October 2026.

WHO USES IT

Technical or not, the whole team.

Founder

YOU ARE

Non-technical founder or product person

Turn an idea into requirements, a design flow and a tested MVP without writing code.

Developer

YOU ARE

Developer at a company

Hand off tickets to parallel agents, get tests and docs written, and review instead of typing.

Freelancer

YOU ARE

Freelancer or solo developer

Take on more client work alone, with QA and documentation on every project.

Agency or team

YOU ARE

Agency or product team

Run delivery for many projects with planning, QA, reporting and client feedback built in.

SME or government

YOU ARE

SME or local government

Get custom software built and maintained by Qode, without hiring developers.

NOT SURE WHICH YOU ARE?

Leave your email and we will tell you when Devfab is released.


PROOF

Built, then used to build a business.

Enterprise customers in the US, UK, Japan, Korea, India and Vietnam pay for products made on Devfab.

Completed interviews

33,511

Tracy, in production at Turing

Assessment hours

11,850

Tracy, in production at Turing

Completion rate

94%

Tracy, in production at Turing

Lines of code

122,000

The platform itself

Backend tests

1,890

The platform itself

Design documents

68

Each written before its feature

Human developers

2

Building it with itself

Tracy is SOC 2 Type II certified (Jul 2026). Also built on Devfab: AI talent matching, RockAPI, a recruitment platform for a Japanese enterprise. 96.8% of tokens read from cache. Source: Qode Factory Teaser, Sep 2026.


SECURITY AND CONTROL

Rules that refuse, not rules that ask.

Rules are enforced by the system, not left to people remembering them. Every action and every dollar is on record.

Direct pushes to trunk

Rejected

Every push needs a ticket key

Human checkpoints

2

Plan approval and review before merge

Every action

Logged

Append-only event log, full replay

Cost

Per task

Logged after each run, per project too

Your code, your credentials

OWNERSHIP

Code stays in your GitHub. Agents work in isolated containers under credentials you issue and can revoke.


No engineer needs a local copy.

Rules that refuse

ENFORCED

Coding rules are injected into every task, then checked automatically.


Rules the system enforces.

Humans approve

HUMAN IN THE LOOP

Plans need your approval. Agents that hit something they cannot resolve stop and wait instead of guessing.


Nothing merges unreviewed.

Full record

AUDIT

An append-only event log records every action, with full replay and cost broken down per agent.


Later runs learn from earlier ones.

Access control

ACCESS

The admin portal sets who can see and change each workspace and project.


Safe collaboration across teams and clients.

Model-flexible

NO LOCK-IN

Each agent runs on the default model, or on a model you choose for it.


Not tied to one AI provider.


GET STARTED

Three ways in.

1. Try it yourself

FOUNDERS, DEVELOPERS, FREELANCERS

Describe your idea or paste a spec.


A tested prototype with design docs, in your own GitHub.

2. Run your team on it

AGENCIES, OUTSOURCING, REPLIT OR LOVABLE TEAMS

Bring client briefs, specs or prototype repos.


Predictable cost, QA on every change, delivery reports.

3. Have Qode build it

SMES AND LOCAL GOVERNMENTS

Describe the problem, approve the plan.


A documented product built on Devfab, yours to keep.

Contact us

QUESTIONS


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