AI-Enabled Engineering Services
- Ship features and releases faster with AI built into coding, testing, and documentation
- Get more done with a smaller senior team and spend your budget on features
- Keep quality and security under control: an engineer reviews every change before it ships
When your business needs AI-enabled engineering
Brands we work with
Our AI-enabled engineering services
Asabix offers AI-enabled engineering services for companies that want to deliver more while keeping a high bar for quality and security.
AI-assisted product development
Shorten time-to-market for new products and features. Our engineers use AI for code generation, test coverage, and documentation across the software development lifecycle, while a senior developer owns every architectural decision and code change.
AI-augmented dedicated teams
Get a compact senior team that delivers like a larger one. Each engineer works with AI built into daily workflows, from writing code to CI/CD, and plugs into your processes, tools, and sprint rhythm from the first week.
AI-assisted legacy modernization
Keep your core product moving forward without a risky rewrite. AI helps us map dependencies, document forgotten modules, and generate tests before refactoring. With that safety net, we reduce technical debt step by step while the business keeps running.
Rapid prototyping and MVPs
Test an idea with real users within weeks. AI speeds up prototyping, UI scaffolding, and integrations, and our engineers build the MVP on a clean foundation that can grow into a full product without starting over.
AI-generated code audit and cleanup
Turn a fast AI-built product into one you can safely scale. We audit code quality, security, and architecture, fix the risky parts, add missing tests, and leave clear documentation your team can maintain and extend on its own.
AI adoption for your engineering team
Get measurable value from the licenses already on your budget. We set up shared practices, prompt engineering guidelines, review rules, and delivery metrics, then coach your developers until the new workflow becomes part of everyday work.
How AI works across our development lifecycle
Where AI helps and where engineers decide
Every task has two parts: the repetitive work AI handles well, and the decisions that shape your product. Our engineers keep the decisions, from first requirements to legacy code.
What AI handles
- Drafts user stories and acceptance criteria from meeting notes
- Suggests architecture options and highlights the trade-offs
- Generates boilerplate, repetitive logic, and first drafts of code
- Flags bugs, style issues, and vulnerabilities in pull requests
- Generates tests and expands coverage across the codebase
- Maps dependencies and explains old, undocumented modules
What engineers decide
- Which requirements match your business goals and priorities
- The final architecture and how it scales long term
- Core business logic, with every AI suggestion edited
- Whether each change is ready to merge into production
- The test strategy and the user scenarios that matter most
- What to refactor first and how to change it safely
A free consultation shows where AI will save your team the most time.
Choose the collaboration model that fits your needs
Built-in guardrails for quality, security, and ownership
Speed only matters when the code is safe to run. The same guardrails apply to every project, in every collaboration format.
- senior engineer review and approval before any AI-generated code reaches your main branch
- human-in-the-loop control built into every workflow, from first commit to final release
- business and enterprise plans of AI tools with strict data handling terms
- per-project tool access, with your approval for every tool used on your code
- private source code, data, and prompts that are never used to train AI models
- automated secret and license scanning in the CI/CD pipeline before code moves forward
- an NDA signed before we see your code, and full IP ownership transferred under the contract
- agreed metrics such as cycle time, defect rate, and test coverage, tracked from the first sprint
When needed, we also follow your internal data privacy and compliance requirements and work only with the AI tools your security team has approved.
Why choose Asabix for AI-enabled engineering
Accountable senior engineers
One team from idea to support
Proven results you can verify
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They trust us
They demonstrated an impressive level of expertise in web development. They flawlessly executed complex functionalities and integrated custom features to meet our specific needs. The website they created functions seamlessly and aligns with our brand identity.
As a satisfied customer, I highly recommend Asabix to any organization seeking top-notch software solutions. With Asabix, you can rest assured that your expectations will be surpassed.
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We run cross-border logistics, fulfillment, tracking, integrations, and a lot of moving parts. The system had to support real operational complexity.
Communication has been consistent, deadlines are generally respected, and when issues come up (because in tech they always do), they stay involved until things are resolved.
The SkladUSA system continues to evolve, and Asabix has been a reliable partner in that growth.
Frequently Asked Questions
What are AI-enabled engineering services?
It's software development where engineers use AI at every stage, from planning and coding to testing and support. You get the speed of AI with senior developers checking every change. You may also hear it called AI-augmented or AI-assisted development, and the idea is the same.
How is this different from AI development services?
AI development services build AI products, such as chatbots, AI agents, or generative AI features. AI-enabled engineering is about how we build any software: AI helps us deliver your product faster and with better test coverage. Your product doesn't need to include AI at all.
Is AI-written code secure and production-ready?
Yes, once it goes through the right checks. Every change passes automated tests, secret and license scanning, and a full review by a senior engineer before it's merged. AI-generated code must meet the same quality bar as hand-written code.
Who owns the code, and is our code used to train AI?
You own everything we create, and full IP ownership transfers to you under the contract. We sign an NDA before accessing your code and use AI tools on plans that keep your data out of model training.
How much faster or cheaper will development be?
It depends on your codebase and the kind of work. Tests, documentation, and boilerplate speed up the most, while complex business logic gains less. That's why we start with a pilot and measure cycle time and defect rate against your current numbers.
Can you work with our existing team and tech stack?
Absolutely. Our engineers join your repositories, sprints, and chat channels and work with the stack you already have. If your team isn't using AI yet, we can help them adopt it along the way.
Will AI replace our developers?
No. AI takes over repetitive work, giving your developers more time for architecture, product decisions, and problems that require deep expertise. Most teams find the work more interesting and deliver more with the same people.
Which AI tools do your engineers use?
Mostly Claude Code, Cursor, and GitHub Copilot, plus AI features built into code review, testing, and CI/CD tools. We pick tools per project based on your security requirements and can stick to the ones your company has already approved.
