Speed with Guarantees.

AI-Accelerated, Human-Verified Engineering.

AI-Native Engineering Studio for Building & Scaling Products 5x Faster.

Powering innovation for ambitious startups and industry leaders

give.do
Impactree.ai
Powered by Coducer Delivery Engine™

Our Journey: From Scope to Delivery

Every product we build follows a structured, AI-powered journey — ensuring speed, accuracy, and production readiness.

Requirements structured flow: Input to Epics to User Stories to Technical Tasks

Breakdown summary

Input

  • User should be able to book appointments online

Epics

  • Appointment Management
  • User Scheduling System

User Stories

  • User can select date & time
  • User receives confirmation
  • +1 more

Tasks

  • UI: Booking flow screens
  • Backend: Scheduling API
  • +1 more

Why this works

No guesswork — requirements are structured up front. Reduces scope confusion, misalignment, and rework.

UX + architecture

Design

Validate before building

Output: UX + architecture

Prototypes and architecture validated with you before a single line of production code. UX flows and technical design signed off.

Build output

Build

Accelerated with AI agents

Output: working product

AI agents pair with our engineers to implement features; humans review, integrate, and keep quality bar high. Speed without chaos.

Tested system

Validate

Ensure correctness & quality

Output: tested system

Automated and manual testing, performance and security checks. We don’t ship until it’s correct and production-ready.

Live product

Deliver

Production-ready deployment

Output: live, scalable product

Deploy to your infra, configure CI/CD, and hand over a live system. Documentation and runbooks so your team can own it.

Team collaborating on product planning

Donation & campaign platform

Give.do

We partnered with Give.do to design and build donation flows, campaign management, and reporting so non-profits could run fundraising at scale. Scope was locked with a full execution plan before engineering, then we shipped in iterative releases with continuous validation.

Key results

  • End-to-end flows from campaign creation to payout reconciliation
  • Reduced scope churn by structuring epics and stories up front
  • Faster release cadence with clear acceptance criteria per sprint

Technology used

  • Next.js
  • TypeScript
  • PostgreSQL
  • Stripe
  • Vercel
How it comes together

From plan to shipped — with AI and you in the loop

1

Execution workflow

End-to-end delivery path

Execution PlanDesignBuildValidateDeliver
2

User story → structure

Agent expands one line into backlog

Agent ·Input · “Users should book appointments online.”

Epic

Online scheduling

User stories

  • Select slot & confirm booking
  • Receive email confirmation

Tasks

  • API: availability & hold slot
  • UI: calendar + confirmation
3

UX journeys

Agent executes tasks → lo-fi & hi-fi

Agent ·Generating wireframes & polished screens from tasks…

Low fidelity

Flow & layout

High fidelity

Brand & UI

4

Handoff to build

Scope & UX locked — ready for the delivery engine

Agent ·Stories, tasks, and hi-fi screens signed off. Opening implementation track…

Checklist

  • PRD & acceptance criteria linked
  • Tasks synced to PM tool
  • Repo & branch policy ready
5

Automated dev loop

From PM tasks to green tests — then human review

Delivery pipeline

PMTasks
Branchgit
TestsTDD
Codegen
CIRun

Idle until handoff

LLM & IDE

Claude
Cursor
Copilot
OpenAI
6

Human in the loop

Review, chat, merge — after tests pass

Coducer AI Agent
Structuring requirements from your brief…
Mapped 12 user stories and 34 tasks.
Ready for human review before merge.
You · Ship the checkout flow this sprint?
Validating against acceptance criteria…
Ask the delivery engine…
What our clients say

Don't just take our word for it