— AI Stack

The AI stack that ships faster.

AI-assisted development is not an add-on to how we work — it is the foundation. Every layer of our engineering process has AI embedded in it, cutting delivery time by up to 50% without compromising quality.

01Claude 02Cursor 03Kiro 04Vercel + Linear

Architecture & Code Review

The reasoning engine behind every technical decision.

Claude is our primary AI for architecture, code review, and any task requiring deep, long-context reasoning. Its 200K-token context window lets us feed entire codebases, API contracts, and requirements in a single session — producing reviews and recommendations that junior engineers simply cannot match in speed.

Architecture & system design reviews
Complex bug diagnosis and root-cause analysis
API design critique and security audits
Documentation generation and code comments
Test strategy planning and test case generation
Pull request review automation

200K: Context tokens
#1: SWE-bench
v4: Latest model

Claude — Architecture Review

claude-sonnet-4-6

src/api/products.ts:38–56

export async function syncInventory(products: Product[]) {

const results = []

products.forEach(async (p) => {

await db.variants.findMany({

where: { productId: p.id }

})

results.push(await processProduct(p))

})

return results

}

⚠ N+1 query pattern — line 42

Each iteration fires a separate DB query. Use include or batch with whereIn to collapse into one round-trip.

✕ Missing transaction wrapper — line 49

processProduct mutates state outside a transaction. A partial failure will leave data inconsistent with no rollback path.

2 issues · 1 high severity

Fixes ready

Cursor — Agent Mode

● active

Editing

src/auth/middleware.ts
src/api/routes/login.ts
src/api/routes/refresh.ts
src/lib/jwt.ts

Prompt

Refactor auth to use JWT access tokens with 15 min expiry + refresh token rotation. Add rate limiting middleware.

Generating changes…3 / 4 files

Changes Preview

src/auth/middleware.ts

- const session = createSession(userId)

+ const token = jwt.sign(payload, secret, { expiresIn: '15m' })

+ const refresh = generateRefreshToken(userId)

+ await rotateToken(userId, refresh)

4 files · +18 / −6 lines✓ Tests passing

Pair-Programming IDE

Every engineer has an AI co-pilot, built into their IDE.

Cursor is the primary IDE for every engineer on every OptimaGeeks project. It is not a plugin — it is an IDE rebuilt from the ground up with AI at its core. Autocomplete that predicts entire functions. Agent mode that edits 20 files in one shot. Chat that understands your entire codebase.

Tab Autocomplete

Context-aware suggestions that predict the next edit, not just the next word.

Cmd+K Edits

Inline rewrites scoped to a selection — refactor, fix, or explain in one keystroke.

Agent Mode

Multi-file edits orchestrated autonomously across the entire codebase.

Codebase Chat

Ask questions about any file, symbol, or pattern with full repo context.

Spec-Driven Workflows

Requirements become specs. Specs become code.

Kiro by AWS bridges the gap between product requirements and working implementation. We define what to build in structured spec files — Kiro implements them, ensuring every feature is consistent, auditable, and on-spec.

Spec Generation

Kiro turns natural language requirements into structured, reviewable spec files automatically.

Hooks & Automation

Automated hooks that run specs through implementation, validation, and documentation in sequence.

Consistent Delivery

Every feature is implemented against a spec — traceable, auditable, and repeatable across the team.

.kiro / specs / user-auth.md

kiro spec

# Feature: User Authentication

requirements:
  - JWT access tokens (15m expiry)
  - Refresh token rotation on use
  - Rate limit: 5 attempts / 15min
  - PKCE flow for OAuth providers
  - Bcrypt password hashing (12 rounds)

acceptance_criteria:
  - Expired token returns 401
  - Refresh rotates token in DB
  - Rate limit returns 429

tasks:
  - [x] POST /auth/login
  - [x] POST /auth/refresh
  - [x] POST /auth/logout
  - [ ] Middleware: requireAuth
  - [ ] Rate-limit middleware
  - [ ] OAuth callback handler

tests:
  - [x] login.test.ts
  - [x] refresh.test.ts
  - [ ] middleware.test.ts

6 tasks · 3 complete

50%

Deploy & Issue Intelligence

Deploy intelligence and project clarity, unified.

Vercel handles our deployment pipeline with zero-config intelligence. Linear keeps every sprint and issue connected to the code that ships it. Together, they close the loop between planning and production.

Vercel

Zero-config deployment platform

Preview deployments on every pull request
Edge functions with global CDN distribution
Real-time performance analytics & Web Vitals
Instant rollbacks with zero downtime
Git push → production in under 60 seconds

Linear

AI-powered project management

AI-generated issue summaries and auto-triage
Sprint planning with intelligent cycle estimates
Native GitHub + Vercel deployment integration
Cycle time and velocity tracking per engineer
Zero-config project templates per service type

— More Tools We Use

A full ecosystem of AI-native development tools.

Beyond the core four, our team leverages a wider set of AI-first tools depending on project context, client infrastructure, and task type.

AI Code Completion

GitHub Copilot

Enterprise-grade in-editor completions with privacy controls. We use Copilot to augment Cursor in legacy codebases where full context indexing is impractical.

Agentic IDE

Windsurf

Codeium's Cascade agents enable flow-state multi-step coding without manual prompting. Particularly effective for large refactors across 20+ files.

UI Generation

v0 by Vercel

Prompt-to-production React component generation. We use v0 to accelerate frontend prototyping — from wireframe description to Tailwind-ready JSX in seconds.

Open Source

Continue.dev

Self-hosted AI coding assistant for air-gapped enterprise projects. Supports any local or cloud model with a single configuration file.

Collaborative IDE

Zed

GPU-accelerated editor with native real-time collaboration and AI model access. We use Zed for high-velocity pairing sessions across time zones.

— Under the Hood

The models and frameworks powering AI features.

When we build AI features into client products, we select the right model for the task — not just the most popular one. These are the APIs and frameworks in active production use across our project portfolio.

LLM & Model APIs

Production-ready models across providers

GPT-4o
OpenAI
Multimodal reasoning & function calling
Gemini 2.5 Flash
Google
Speed-optimised, 1M-token context
Groq (LPU)
Groq
Ultra-fast inference for real-time apps
Mistral Large
Mistral
European-hosted, cost-efficient reasoning
DeepSeek R1
DeepSeek
Open-source, strong code generation

Agent Frameworks

Orchestration layers for AI-powered products

LangChain
RAG chains & retrieval-augmented generation
LangGraph
Stateful multi-agent workflow orchestration
CrewAI
Role-based agent crews for complex tasks
Pydantic AI
Type-safe agentic Python applications
OpenAI Agents SDK
Production-ready tool-use agents

— Ship with AI

Want AI-powered development on your project?

Every project we take on leverages this full stack. You get the output of senior engineers, at the pace that AI-assisted development enables.

Start a Project See How We Work