It’s software development where engineers use AI tools throughout the process: to research, draft code and tests, refactor and document. The engineers stay responsible for the architecture, the decisions and the quality of everything that ships.
AI-Assisted Software Development
AI at every stage, engineers at every checkpoint
Where AI speeds up our AI-driven development process, and where the decisions stay with people.
Discovery and scoping
AI helps with: market and competitor research, user stories, first estimates.
Engineers decide: scope, priorities and the final estimate.
Architecture and design
AI helps with: comparing options, drafting documentation and boilerplate.
Engineers decide: architecture, security model and technology choices.
Development
AI helps with: code generation, refactoring and routine tasks.
Engineers decide: what gets merged, after reviewing every change.
Testing
AI helps with: generating test cases and test automation scripts.
Engineers decide: QA strategy, exploratory testing and release sign-off.
Release and support
AI helps with: release notes, runbooks and issue triage.
Engineers decide: deployment, monitoring and incident response.
AI-powered software development without the shortcuts
The difference between AI-assisted development and vibe coding is who stays in control.
Every change is reviewed
A senior engineer reads and approves every pull request, whether a person or a tool wrote the first draft.
Tests from day one
Software testing and test automation are core services for us, so automated tests grow together with your product.
Security by design
Every release goes through security checks: injection, broken authentication, access control (IDOR) and SSRF, plus a secrets scan and a dependency audit. Auth and session logic is always reviewed by an engineer, never shipped as generated.
Your code, your IP
You own everything we build for you: code, designs and documentation.
What we build with AI-assisted delivery
Everything you’d expect from a custom software development company, delivered faster.
SaaS Development
MVP Development
Team Extension
Software Testing
Software Test Automation
Product Development
Vibe Coding Cleanup
Already built something with AI tools? We’ll find what’s fragile and make it production-ready.
AI Features in Your Product
LLM integration with models like GPT, Claude and Gemini, RAG over your own documents and data, and AI assistants built with frameworks like LangChain, all on existing models instead of training new ones.
Our AI-assisted development stack
The main tools we work with, but not the only ones. We keep track of new AI tools and adopt the ones that prove themselves on real projects.
- AI tools
- Backend
- Mobile
- Frontend
- Test automation
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Claude Code
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Codex
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Cursor
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GitHub Copilot
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Python
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Django
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FastAPI
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Node.js
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Nest.js
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Express.js
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React Native
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Flutter
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React.js
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Next.js
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Vue.js
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nuxt.js
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Node.js
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JavaScript/ TypeScript
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WebdriverIO
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Playwright
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Puppeteer
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Appium
Who AI-assisted development is for
For startups:
- Get an MVP in front of users and investors sooner
- Stretch a seed budget further
- Iterate quickly on what users tell you
- Keep the code clean enough to scale later
For SMBs and established companies:
- Ship features that have been stuck on the roadmap
- Modernize older systems step by step (software modernization)
- Add capacity without growing a large in-house team
- Keep security and compliance under control
By numbers
of foundation
end-users
What our clients
say about working with us
5.0
Tell us what you’re building
We’ll show you where AI can shorten the path, and where it shouldn’t be used at all.
Reach out for a free consultation and a quote
Don’t hesitate – turn your idea into a successful product!
Fill out the form, and we will get in touch with you within 24 hours.
FAQs
In vibe coding, AI writes the product and people mostly accept what it produces. In AI-assisted development, AI speeds up the work, but experienced engineers review every change, test it and own the result. If you already have a vibe-coded app, see our vibe coding cleanup service.
Only after review. At Peppernode, every change goes through code review and automated tests before it’s merged, wherever its first draft came from. On web projects we also check for injection, broken authentication, access-control gaps (IDOR) and SSRF, scan for hardcoded keys and tokens, audit dependencies, and validate input and encode output on every endpoint. Authentication and session logic is always reviewed by a person and never shipped as generated.
It depends on the project. Independent studies give a sense of the range. In GitHub’s controlled experiment, developers using Copilot finished a coding task 55% faster. A field study with nearly 5,000 developers at Microsoft, Accenture and a Fortune 100 company found 26% more completed tasks. McKinsey found that AI cuts the time spent writing new code by 35–45%. The biggest gains come from boilerplate-heavy work, tests and documentation. Complex business logic and architecture still need careful human work, and that’s where we spend the time we save.
Usually, yes. A smaller senior team gets more done, so you pay for fewer hours. We’ll give you an estimate after a discovery call.
You do. All code, designs and documentation we create for your project belong to you.
No. We only use AI tools under terms that exclude your data from model training, and we never share your real databases or customer contacts with AI tools. We also follow your company’s rules on which tools may be used.
Yes. We add AI features to new and existing products: LLM integration with models like GPT, Claude and Gemini, RAG over your own documents and data, smart search, assistants and document processing, built with frameworks like LangChain on existing models rather than training new ones. Dudegevity, an AI-powered calorie tracking app, is one example.