Organise requirements into a standard spec,
and return
software you can review
Plans, documents, and images are organised into a standard spec, and design, code, and deployment artefacts are produced against reusable code assets. Feature scope and acceptance criteria are fixed per project.
MD · imagesRequirement material normalised
ReuseScope set by separating reuse
from new development
Written into the contractCode, documents, repository
Terms agreed
Scope estimatedSchedule and review plan
matched to the project's terms
Two problems you hit
on every real project
The endless code review loop
Reuse through RAG
Standard code organised from previous projects is referenced as generation context. Whether to reuse it is reviewed against the current project's conditions.
Manually stitching scattered material together
Organised into a standard spec
Requirements are organised into a standard spec and Markdown design documents. People and AI refer to the same acceptance criteria.
The same criteria organise the requirements,
and a repeatable process generates the result
A four-stage pipeline connects requirements, design, code, and handover criteria into one flow.
Take the requirements
Whatever material you already hold goes in: plans, documents, images. We review base templates for your stack and the assets available for reuse, and set the starting line.
Generate the design
Conversation and material become a standard spec and Markdown design documents. Missing items and decisions still needed are flagged and collected for review.
AI writes the code
An AI agent reads the design documents, generates code in an isolated working environment, and records its progress. People check the result at the review points you agreed.
Publish the repository
Changes against the base are collected and handed over as a repository for your project, together with the design documents and a completion report.
Not one line of code,
the technology to build a whole project
Code asset search, design document generation, infrastructure configuration, and requirement analysis are connected across the whole project flow.
Code asset search
Code assets accumulated across our own projects are normalised and searched semantically. Only assets that fit the project's conditions are reviewed and reused.
Automated project design
Natural language conversation becomes a single source of truth across 7 areas and 11 Markdown documents. It is the one reference people, AI, and code all read.
Automated infrastructure
AWS, GCP, and NCP setups and CI/CD are managed as Terraform templates. What actually gets applied is decided against your account permissions, network, and security policy.
Automated requirement analysis
Large work is split into domain analysis, data modelling, API design, screen definition, and code generation, and each stage is checked for gaps and review items.
Five modules,
one production system
bespokit saas
User interface
The web app where you watch and steer conversation to spec to docs to autonomous coding.
bespokit-engine
The automation brain
Runs stages A to D, isolates workspaces, and controls concurrency.
becode
RAG backbone
Code assets organised from our own projects, referenced during generation.
beskit
Coding tool plugin
The standard development process as slash commands, usable in Cursor, Copilot, or anywhere else.
bestack
Sales intelligence
Turns a finished repository into a catalogue of business terms.
Compare the two approaches
on the same criteria
| Criterion | Conventional bespoke build | Bespokit |
|---|---|---|
| Schedule estimate | Estimated from feature, integration, and approval scope | Estimated after reviewing the standard spec and reusable assets |
| Cost estimate | Quoted on headcount and duration | Quoted by separating reuse from new features |
| Handover | Varies with documentation and repository practice | Spec, documents, and repository handed over together |
Enterprise, mid-market, or startup,
the domain does not matter
This is the scope of work visible in our publicly listed cases.
AX transformation support for an apparel OEM
Domain knowledge base and chatbot agent build
Hojeon Limited
D2C storefront platform build
Platform build and market launch
Piuda
Several alpha services launched on short timelines
Short-cycle build and launch for market validation
Woodic · Loever · UIBall · Rabbit Guide
Company-wide ERP build
Company-wide ERP for a semiconductor business
ASICLAND
HR AX transformation PoC
Domain knowledge base and chatbot agent pipeline
CJ Logistics
Enterprise brand website build
Brand website design and build
C&C International
Frequently asked questions
The conditions people check most often before adopting.
What kind of requirements can we start with?
Whatever you already hold: a plan, a feature list, screen images, existing operational documents. Depending on how complete the material is, the work may start with a stage that organises the requirements and the acceptance criteria.
Can the generated code be deployed straight away?
That depends on feature scope, testing, security review, external integrations, and your approval conditions. What we hand over as a repository and documents is what passed the acceptance criteria agreed for the project.
Can it connect to our existing systems and code?
Yes. We review the existing repository's structure, licences, technical debt, and the access conditions for its APIs and databases, then separate what to reuse, what to replace, and what to build new.
Who owns the code and the deliverables?
The contract sets out the handover scope for the code repository, design documents, data, external libraries, accounts, and infrastructure. Open source and third-party services remain subject to their own licences and terms.
What drives the schedule and the cost?
Business rule complexity, systems to integrate, data migration, design, security, and approval processes affect schedule and cost far more than the number of features. After a consultation we quote by separating reuse of standard assets from new development.
Start your next project
with a single conversation
We review your current requirements and integration environment, then propose the build scope and the next step.