Let's Work Together
We'll get back to you within 24 hours with a tailored plan.
Thanks! Our team will reach out within 24 hours to discuss your project. Check your inbox for a confirmation.
CodiFly integrates Claude, Cursor, GitHub Copilot, Codex, Tabnine, Gemini, and Amazon Q into every sprint — so your product ships faster, with fewer bugs and better code quality.
// CodiFly dev asks Claude to scaffold an API
You: Generate a Laravel REST controller for an
e-commerce cart with CRUD + validation
Claude: Here's a production-ready CartController
class CartController extends Controller {
public function store(CartRequest $request){
return Cart::create($request->validated());
}
}
// Cursor refactors 400-line component in 8s
@ Refactor UserDashboard.tsx — extract hooks,
add TypeScript interfaces, split into 3 files
✓ Created useUserData.ts (+82 lines)
✓ Created UserMetrics.tsx (+64 lines)
✓ Updated UserDashboard.tsx (-340 lines)
Tokens saved: ~1,200 · Time: 8.3s
Each tool is chosen for a specific superpower. We know when to use which — and combine them for maximum impact.
Anthropic's model excels at nuanced code generation, architecture planning, and documentation — with a 200K token context window that understands your entire codebase.
Explore Claude →The AI-first code editor that understands your entire repository. Composer mode rewrites multi-file features in seconds. Our team's daily driver.
Explore Cursor →Inline completions, PR summaries, security scanning — Copilot is deeply embedded in our GitHub workflow, catching issues before they merge.
Explore Copilot →We embed GPT-4o and Codex directly into client products — powering AI features, natural language queries, automated testing, and smart integrations.
Explore Codex →For enterprise clients where code privacy is non-negotiable, Tabnine runs on-premise and trains on the client's own codebase without data leaving their environment.
Explore Tabnine →Gemini Code Assist is our go-to for Android and GCP projects — native Studio integration, 1M token context, and multimodal input (design → code).
Explore Gemini →For AWS-heavy projects, Amazon Q generates CloudFormation, CDK, and Terraform code, scans for security issues, and explains complex AWS architectures in plain English.
Explore Amazon Q →Need a bespoke AI feature in your product? We design, build, and deploy custom LLM pipelines, RAG systems, and AI agents tailored to your use case.
Discuss Your Idea →We don't just add AI to look modern. Every tool is integrated into a proven workflow that makes your product better, not just faster.
Before a single line of code, we feed your requirements, existing codebase, and architecture decisions into Claude and Cursor to build shared context. The AI understands your system before your developers touch it.
Claude evaluates architectural options, generates sequence diagrams, identifies edge cases, and proposes database schemas. Decisions that used to take days of whiteboarding happen in hours with documented reasoning.
Developers use Cursor's Composer to build entire features across multiple files simultaneously. GitHub Copilot fills in boilerplate inline. What used to take a week of feature development now takes 2–3 days.
Before every PR merge, Copilot scans for security vulnerabilities and Claude performs a deep code review — checking for logic errors, edge cases, and adherence to your coding standards. Automated quality, every time.
Copilot and Claude generate comprehensive unit tests, integration tests, and API documentation from the code itself. Coverage improves, docs stay current, and developer time is freed for building features.
AI generates — humans verify. Every AI output is reviewed, tested, and approved by an experienced CodiFly engineer. You get the speed of AI with the accountability of a seasoned development team.
Numbers from real projects where AI-augmented development made a measurable difference.
Average across 50 AI-assisted projects compared to traditional development
AI scaffolding eliminates repetitive code so devs focus on unique business logic
AI-generated test suites achieve higher coverage than manually written tests alone
Copilot security scanning catches vulnerabilities before they reach production
AI tools don't replace developers. They amplify them — turning a team of 3 into a team of 10.
AI handles scaffolding, boilerplate, and repetitive patterns so your developers spend their time on the logic that actually differentiates your product. Sprints deliver more, every time.
AI code review catches logic errors, security vulnerabilities, and edge cases that human reviewers miss under deadline pressure. Your production system is more reliable.
AI generates documentation directly from code, in real-time. No more out-of-date READMEs or undocumented APIs — your docs evolve as your codebase does.
AI tools like Claude understand your entire codebase simultaneously. New developers onboard in days instead of weeks because AI can explain any part of the system instantly.
Faster development and fewer QA cycles mean each feature costs less to build. AI-augmented teams deliver more for the same budget — your runway stretches further.
AI security scanning is built into every pull request — not bolted on at the end. Vulnerabilities are caught before they merge, not after they breach.
A side-by-side look at what changes when AI tools are embedded in the development workflow.
| Capability | Traditional Dev | AI-Augmented (CodiFly) |
|---|---|---|
| Feature scaffolding | 2–4 hours manual | ✓ Minutes with Cursor Composer |
| Code review | Async, 24–48hr turnaround | ✓ Instant AI + human sign-off |
| Security scanning | Manual / periodic | ✓ Every PR via Copilot |
| Test writing | Often skipped under pressure | ✓ AI-generated, 80%+ coverage |
| API documentation | Out of date, incomplete | ✓ Auto-generated from code |
| Onboarding new devs | 2–4 weeks to productivity | ✓ Days — AI explains the codebase |
| Legacy code understanding | Weeks of archaeology | ✓ Claude reads 200K tokens at once |
| Architecture decisions | Ad hoc, tribal knowledge | ✓ AI-assisted + documented rationale |
Common questions about AI-augmented development and how it works in practice.
Get the same advantage — a development team that ships 2× faster without cutting corners on quality or security.