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Headquartered in Dallas · Centers in Pune & Kashmir
AlphaCoders · Craft
Our expertise lies in building what you dream. With cutting-edge technologies, robust engineering, and meticulous execution, we turn ideas into shipping products — software, digital platforms, and everything in between.
Services
Three engineering practices that turn ambitious briefs into production-grade software.
Tailored solutions built to be efficient, scalable, and aligned with your business goals. From concept to deployment, your idea takes shape end-to-end.
Secure backend systems paired with intuitive frontends — unified, high-performing products that meet your technical and business needs.
Production AI features powered by LLMs, RAG pipelines, and autonomous agents — from intelligent search to multi-step workflows that handle real work.
Rigorous testing across functional, performance, security, and AI-output dimensions — software that's reliable, accurate, and ready for the real world.
How we build
Three working principles that shape how we plan, ship, and iterate on every engagement.
Real users shape the product end-to-end. Decisions trace back to actual needs, behaviors, and feedback — not assumption or aesthetic preference.
Short, iterative cycles let us respond quickly to change. Continuous improvement and frequent shipping keep the work tight to your evolving needs.
We pair-program with AI agents — Cursor, Claude Code, Copilot — to compress iteration cycles. Every AI suggestion is reviewed and validated against tests before it lands in production.
Automated CI/CD across testing, building, and deployment. Faster releases with fewer regressions and a consistent path from commit to production.
Engineering Stack
A modern, multi-language stack — battle-tested where it counts and ahead of the curve where it matters.
LangChain, LangGraph, CrewAI, AutoGen, the OpenAI Assistants API, the Claude Agent SDK, and Anthropic's Model Context Protocol (MCP) for multi-step autonomous workflows, RAG pipelines, and tool-using agents.
OpenAI GPT-5, Anthropic Claude (Sonnet, Opus, Haiku), Google Gemini, Vertex AI, TensorFlow, and PyTorch — for inference, fine-tuning, and embeddings at production scale.
React, Next.js, Vue, Svelte, and TypeScript for fast, interactive interfaces with first-class developer ergonomics.
Node.js, Bun, Django, FastAPI, Go, and Rust for backend services that scale from MVPs to production load.
PostgreSQL, MongoDB, Redis, ClickHouse, and Supabase for transactional, document, cache, and analytical workloads.
Flutter, React Native, Swift, and Kotlin for cross-platform reach without sacrificing native polish.
AWS, Azure, Google Cloud, Vercel, and Cloudflare — paired with Terraform and Pulumi for repeatable infra.
Docker, Kubernetes, and Argo CD for portable workloads, blue-green rollouts, and GitOps-driven delivery.
GitHub Actions, Datadog, Sentry, and Grafana for CI/CD, monitoring, and incident response — paired with LangSmith and Helicone for tracing AI workloads end-to-end.
Playwright, Vitest, Jest, Cypress, Selenium, and JMeter — across unit, integration, e2e, and load testing, plus eval harnesses (Promptfoo, DeepEval) for AI-output quality.