Human Ownership.
AI Velocity.
Wisby AI provides elite software engineers who use generative AI and LLMs to architect, build, test, review, and deploy software — without ever surrendering human judgment.
Human Ownership, AI Velocity
We combine deep engineering expertise with advanced AI workflows to deliver exceptional software at speed.
Engineers as Architects, AI as the Engine
Our engineers remain in full control of product design, system architecture, domain logic, and decision-making — using LLMs as hyper-fast coding engines rather than autonomous decision-makers.
10x Shipping Velocity without Quality Tradeoffs
We dramatically compress development, refactoring, and deployment cycles while maintaining strict human-in-the-loop review to ensure zero architectural or technical debt.
Projects & Engagements
Concrete delivery areas where our AI-first engineers operate — from greenfield products to production-grade AI infrastructure.
Full-Stack Application Development
Building robust, high-throughput web and mobile apps using modern frameworks and cloud-native backends — from polished frontends to resilient APIs.
Distributed Systems Architecture
Designing fault-tolerant, scalable cloud architectures built for high concurrency, elastic load, and zero-downtime performance.
End-to-End Automated Testing & QA
Authoring comprehensive web and mobile test suites with Playwright, Cypress, and Appium — executed, verified, and maintained by AI agents.
Custom AI Agent & Harness Engineering
Designing, building, and deploying specialized autonomous agents tailored to your specific business workflows, domain rules, and quality gates.
LLM Integration & Fine-Tuning
Integrating foundation models from OpenAI, Anthropic Claude, and Gemini into enterprise systems with custom prompt chaining, system instructions, and fine-tuning.
Autonomous Task & Triage Loops
Setting up self-triggering background agents that analyze incoming bug reports, summarize build failures, and automatically draft PRs for developer review.
RAG Systems
Building fast, accurate enterprise search engines and documentation bots over proprietary codebases, vector databases like pgvector, and internal knowledge bases.
Beyond Basic Prompting
Our engineers design agentic systems that run reliably in the background, not one-off chat sessions.
Loop Engineering & Autonomous Workflows
Instead of manually babysitting prompts, our engineers build recurring agentic loops: scheduled triage, automated PR generation, self-correcting test/fix cycles, and background sub-agent verifications.
Multi-Agent Orchestration & Isolated Contexts
We utilize specialized sub-agents — separate maker vs. checker agents — operating in isolated Git worktrees to run parallel feature development, automated code reviews, and security scans safely.
Verification Architecture
Quality is enforced by deterministic checks, not optimistic prompts.
Deterministic End-to-End Testing
Engineers write descriptive, unambiguous E2E test specs and orchestrate AI agents to execute, validate, and troubleshoot real application UI and integration flows across web and mobile platforms.
/goal-Driven Stop Conditions
Code is never merged based on vibe checks. AI loops run against hard verifiers — unbroken build pipelines, passing unit/integration suites, and zero linter violations — before human sign-off.
Built for Scale
Enterprise-grade reliability is designed in from day one, not retrofitted later.
Robust, Scalable, & Fault-Tolerant Systems
AI generates code snippets, but our engineers enforce distributed system patterns, resilient error handling, microservices stability, and database scalability.
Codified Project Context & Knowledge Base
We convert your engineering standards into persistent project skills — custom repository knowledge bases and Model Context Protocol / MCP connectors — ensuring AI models align 100% with your tech stack and team conventions.
Hire the Workflow, Not Just the Engineer
Every Wisby engineer ships with a complete AI-augmented delivery stack.
Zero Onboarding Friction
Our engineers arrive pre-equipped with advanced AI workflows — Claude Code, OpenAI Codex, MCP tools, agentic harnesses — integrating seamlessly into your existing CI/CD pipelines and issue trackers like Jira, Linear, and GitHub.
Maximum Value per Engineering Hour
You don't pay for manual boilerplate typing or trivial bug hunting; you invest in high-level architectural design, robust security, and rapid feature delivery.
From first design to final release
Full-spectrum capability across the product lifecycle, delivered by engineers who wield AI as their primary tool.
Front-end development
Interfaces that stay fast and accessible as the product grows, including the design-system work most teams keep postponing.
- React
- Next.js
- Angular
- TypeScript
- Design systems
Back-end development
Services and APIs that hold up under real load, with the migrations, observability, and on-call handover written down.
- Go
- Node.js
- Java
- .NET
- Postgres
- AWS
AI and machine learning
LLM features that survive production: retrieval that returns the right document, evals that catch regressions, pipelines that don't silently drift.
- LLM applications
- RAG
- Evals
- Python
- Data pipelines
Mobile development
iOS and Android apps built for smooth performance, stable sessions, and careful handling of user data.
- Swift
- Kotlin
- React Native
- Release engineering
Product design
User flows, reusable components, and accessible layouts, handed to engineering in a state they can actually build from.
- UX research
- UI design
- Figma systems
- Accessibility
QA and testing
Manual and automated coverage of the flows that matter, wired into CI so a broken checkout never reaches a customer.
- Test strategy
- Playwright
- Cypress
- Performance
- CI/CD
Keep full control. Or hand the whole thing to us.
The filled squares show how much of the team is ours. Start anywhere on this scale and move along it later.
Staff augmentation
You need one or two more engineers inside your existing team.
- Reports to your leads, works in your tools
- Your sprint process, your code review
- Billed monthly, per engineer
Dedicated team
You need a squad that owns a product area end to end.
- Engineers, QA, and design in one pod
- A Wisby team lead runs delivery
- You set the roadmap and priorities
Project ownership
You need the thing built, and you'd rather not manage it.
- Scope, estimate, and milestone plan up front
- Fixed scope or capped time-and-materials
- Handover docs and a support window at the end
Our process. Three calls, then work.
Most clients go from first call to an engineer in their standup inside two weeks. Nothing here needs a procurement cycle.
Schedule a CallTell us what you're building
Thirty minutes on the team, the stack, the timeline, and the budget band. We'll say plainly whether we're the right firm for it.
Meet a shortlist of three
Within five business days you get three engineers with interview recordings and scorecards. You interview whoever you like, as long as you like.
Start, then check in monthly
Contract, onboarding, and access sorted in a few days. After that, a monthly review of throughput, code review feedback, and whatever else you want to track.
Hire AI-First Engineering Talent
Tell us about your team, your stack, and what you need to ship. We'll respond within one business day.