Vibe Coding Development Services

Anthropic Claude is the default thinking partner for the SolGuruz engineering team. We pair Claude Opus 4 with our senior engineers for architecture reviews, large refactors, and tricky debugging, and run Claude Sonnet 4 inside Cursor and Claude Code every day for code generation, PR reviews, and pair-programming on real client projects.

Our frontend team uses v0 to convert design references and product requirements into production-ready React, Next.js, and Tailwind components. It cuts the boring boilerplate so our engineers can focus on state, performance, and edge cases v0 alone will not catch.

When a client needs to validate an idea fast, our developers build the MVP on Rocket.new (formerly DhiWise). We use its Vibe Solutioning Platform - prompt-to-app, Supabase auth and database, one-click GitHub push, and live deploy - to ship a usable product in days, then plug it into our standard SolGuruz QA, security, and CI/CD playbooks.

Cursor is the default IDE across the SolGuruz engineering team. Our developers use it with Claude Opus 4, Claude Sonnet 4, and GPT-5 every day for multi-file edits, refactors in agent mode, scaffolding new features, and writing tests - all while staying inside our coding standards and review process.

Kiro is an AI-native IDE our engineers use for spec-driven development. We hand it a product spec, let it propose an implementation plan and tasks, then drive the build with our team in the loop - getting structured output instead of one-shot code dumps that nobody can maintain.

Antigravity is Google’s agentic coding IDE that operates across the editor, browser, and terminal at once. Our team uses it for end-to-end tasks - generating, running, and verifying code in a single agent run - while we keep architectural decisions, reviews, and quality gates in our hands.

GitHub Copilot rides along with our engineers inside VS Code, JetBrains, and the GitHub PR flow. We use the model picker (Claude Sonnet 4, GPT-5, Gemini), Copilot Chat, and the autonomous Copilot coding agent to take care of suggestions, refactors, and first-pass PR reviews - keeping shipping speed up without thinning out review depth.

Our team leans on ChatGPT (GPT-5) and OpenAI Codex for agentic coding tasks, planning, and debugging on client work, and on Perplexity for grounded research with real citations. Together they give our engineers fast answers we can verify - not confident guesses we have to rewrite.

We use Bolt to spin up early prototypes when a client walks in with an idea but no designs. Our team scaffolds a working full-stack app in hours, then takes the output into our standard repo, hardens it, and treats it as a head-start - not the final build.

Our engineers use Replit and Replit Agent for hackathon-style spikes, internal tools, and quick proof-of-concepts. It is our go-to when a client wants to see "can this work?" before committing budget to a full build, with one-click hosting so stakeholders can click the result the same day.

Our product team uses Lovable for founder-led MVPs and internal tools where speed matters more than the long-term stack. We get a working app with Supabase, GitHub, and Stripe wired up in hours, then our engineers harden auth, security, and data models before it ever reaches real users.

We plug Qodo (formerly Codium) into our PR pipeline to auto-generate tests, flag risky changes, and surface missing edge cases before code review. It is how our team keeps AI-generated code production-ready and reduces the QA load on every release.

Windsurf and its Cascade agent join our engineers on long-running tasks - migrations, large refactors, and feature work that span dozens of files. Our team drives the plan with frontier models like Claude Sonnet 4 and GPT-5; Cascade does the legwork while we keep architecture, tests, and code quality in our control.

Our designers use Figma Make to turn a product brief into editable Figma drafts in minutes. From there our team refines components, applies the client’s design system, and prepares production-ready handoff - so Figma Make accelerates the first draft, but every screen is reviewed and polished by a human designer.

We reach for Uizard during early discovery, when a client shows up with sketches, screenshots, or just a description. Our designers turn those into clickable mockups in the same call and use them to align stakeholders before we commit to a high-fidelity design phase - saving days of back-and-forth.

Our design team uses Google Stitch to generate multiple UI directions and themes from a single prompt. We treat it as a divergent-thinking tool: explore variants with the client, pick the strongest direction together, then bring the chosen design into Figma for refinement and design-system alignment.

Our designers use Banani for fast concepting and design-system explorations. We feed product specs and brand inputs into Banani, then iterate on the structured mockups it produces - perfect for pitch decks, investor demos, and pre-build alignment with founders and product owners.

Pencil Dev sits between our designers and frontend engineers. We use it to turn AI-generated UI into clean, component-based code so our developers start with a solid frontend skeleton instead of building from scratch - cutting design-to-dev handoff time on every project by days.

Our discovery and product teams use Miro AI in workshops with clients. We cluster research, generate user flows from prompts, and turn whiteboard sessions into structured artifacts - PRDs, journey maps, and information architecture - in the same workshop, not weeks later.

Our team uses Whimsical AI to think through information architecture and product logic before pixels and code get involved. We generate flowcharts, mind maps, and wireframes to surface edge cases early - the cheapest place to find them, not after the build is halfway shipped.