AI-driven software
Software development, accelerated by AI, owned by seniors.
We use AI at every step of software delivery, from specs and architecture to code, tests and migrations, so products ship faster. Senior engineers design the system and review every line, so speed never costs you quality or ownership.
Start a projectWhat AI-driven development means
AI writes a growing share of the code, but software is still judged on architecture, correctness and maintainability. Our model: AI agents do the repetitive work at speed, senior engineers make the decisions and review everything, and automated tests prove it works.
Overview
How AI changes the way software is built
AI coding assistants and agents can now draft specifications, scaffold applications, write tests, migrate code between frameworks and explain unfamiliar codebases. Used well, they remove much of the repetitive work in software delivery and let a small senior team move at the pace of a much larger one. Used carelessly, they produce code nobody fully understands. The difference is the process around them.
At Bvyte, AI is part of a disciplined engineering process. Senior engineers own the architecture and the decisions; AI accelerates the drafting, coding and testing; continuous integration enforces quality on every change; and weekly releases keep progress visible. You get the speed benefits of AI-driven development with code that is reviewed, tested, documented and fully owned by your company.
What we build
AI-driven software development services
The same senior team and standards on every project, with AI used where it genuinely makes delivery faster or safer.
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01
Product engineering with AI
New web and mobile products built with AI-assisted scaffolding, coding and testing, in weekly releases.
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02
Legacy modernisation
AI agents map and migrate large codebases, from old frameworks to modern stacks, with seniors owning the architecture and cutover.
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03
Automated testing at scale
AI-generated unit, integration and end-to-end tests that raise coverage fast, reviewed for meaning, not just numbers.
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04
AI-native features
Search, summarisation, recommendations and assistants designed into your product from the first sprint.
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05
Code review and quality gates
AI review on every pull request plus a human senior review, with CI checks for tests, types and security.
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06
Dedicated AI-augmented squads
A small senior team using AI tooling to deliver the output of a larger one, shipping to your roadmap every week.
Process
How AI-driven delivery works
Fixed fee per phase, a measured exit gate at the end of each, and working software from the first weeks. See every playbook week by week.
- 01
Spec with AI
Requirements, acceptance criteria and architecture drafted with AI, decided and signed off by people.
Weeks 1 to 2
- 02
Build with agents
Agents scaffold features, write tests and handle migrations; seniors design, review and refine.
Every sprint
- 03
Prove every commit
Automated tests, type checks and security scans gate every merge, so quality is enforced, not hoped for.
Continuous
- 04
Ship weekly
Staged releases with rollback where your stack supports it, a Friday demo and a written changelog for your team.
Every week
Use cases
Where AI-driven development makes the biggest difference
MVPs on a deadline
Get a production-quality first version to customers faster, without the technical debt of a rushed build.
Large migrations
Framework upgrades, monolith to services, and database migrations that can otherwise take quarters.
Test coverage catch-up
Bring an under-tested codebase to a safe level of coverage before major changes.
Roadmap acceleration
Clear a backlog of features with a small senior squad instead of hiring a large team.
Internal tools
Admin panels, dashboards and workflow tools often built in days rather than months.
Documentation and onboarding
Generated, reviewed documentation that makes your codebase easier for new engineers.
- Every generated line is reviewed by a senior engineer before it merges.
- Quality gates in CI: tests, types and security scans must pass on every commit.
- Your code, your repositories, your IP, with no proprietary platform lock-in.
- We choose AI tools per task and never send your code to tools you have not approved.
- Weekly releases and demos, so you see real progress, not status reports.
What we build with
Chosen for your problem, never for a partnership.
AI and data
- OpenAI
- Anthropic
- Google Gemini
- Llama and Mistral
- LangGraph
- pgvector
- Databricks
- Snowflake
Product
- TypeScript
- React
- Next.js
- React Native
- Flutter
- Python
- Go
- Node.js
- Postgres
Platform
- AWS
- Google Cloud
- Azure
- Kubernetes
- Terraform
- GitHub Actions
Questions
Frequently asked questions
Still unsure? Ask us directly, a senior engineer replies within one business day.
What is AI-driven software development?
It is a way of building software where AI tools and agents handle much of the drafting, coding, testing and migration work, while experienced engineers design the system, review every change and own the quality.
Is AI-generated code safe to use in production?
It is when it is reviewed and tested like any other code. We require senior review on every change and automated tests, type checks and security scans before anything merges.
Does AI-driven development reduce cost?
It usually reduces the time to deliver a given scope, which lowers cost or lets you build more with the same budget. We price each milestone as a fixed fee so the benefit is visible to you.
Who owns the code written with AI?
You do. All code is written in your repositories and assigned to you, regardless of which tools helped produce it.
Which AI coding tools do you use?
We use leading AI coding assistants and agents, chosen per task and approved with your security team, and we can work within your existing tool policies.
Can you modernise our legacy application?
Yes. AI agents help us map and migrate large codebases quickly, while senior engineers own the target architecture, testing strategy and cutover plan. See custom software development.
Can you work with our existing engineering team?
Yes. We often join an in-house team as an AI-augmented squad, follow your conventions and review process, and share our tooling and practices so your team benefits too.
How do you protect our source code?
We only use AI tools your security team approves, prefer enterprise plans that do not train on your code, and keep all work inside your repositories and cloud accounts.