Codewalla Tech Stack

Product development studio for startup launches and AI-enabled features

Software Development New York 51–200 employees Founded 2005 Privately Held

Codewalla is a 51–200-person product studio in New York built around Python, TypeScript, AWS, and GCP. Their tech stack reveals a heavy focus on AI/ML (Bedrock, Vertex AI, LangChain, MLflow, Promptfoo, LangSmith) and agentic systems (MCP servers, RAG pipelines, LLM evaluation frameworks), paired with modern infrastructure tooling (Terraform, AWS CDK, GitHub Actions). Active projects on RAG pipelines with cost-aware vector search and LLM output evaluation suggest they're moving beyond raw model integration toward production-grade AI reliability—a core pain point they surface internally.

Tech Stack 64 technologies

Core StackPython TypeScript AWS AWS Lambda DynamoDB Vertex AI BigQuery LangChain MLflow Terraform GitHub Actions Docker Prometheus Grafana FastAPI Next.js GitHub Copilot Cursor React Postman GCP Bedrock OpenSearch Google Cloud Functions Firestore Promptfoo LangSmith LaunchDarkly AWS CDK SCSS+30 more

What Codewalla Is Building

◆Challenges

Turn raw llm potential into reliable features
Modernizing legacy systems
Large-scale code migration
Migrating workloads to cloud
Tight timelines for hiring

▲Active Projects

Front-end architecture & frameworks
Styling & ui design
Performance optimization & testing
Mcp servers and agentic clients
Rag pipelines with chunk decay, latency budgeting, and cost-aware vector search
Evaluation pipelines that test llm outputs for relevance, accuracy, and coherence
Legacy system modernization
Large-scale code migration
Headless magento pwa integration
Api-first architecture for multi-region storefronts

Hiring Activity

Steady9 roles · 3 in 30d

Department

Engineering

Seniority

Senior

Mid

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About Codewalla

Codewalla helps early-stage founders build and launch new products through hands-on technical partnership. Founded in 2005, the studio operates across AR-VR, AI-ML, SaaS, and mobile development, using a "Modular Product Building" methodology to accelerate MVP development and scaling. The org is engineering-led with senior and mid-level depth, currently hiring in India. Core service areas span MVP development, cloud migrations, legacy system modernization, and increasingly, AI feature integration—reflecting demand from portfolio companies looking to add LLM capabilities to existing products.

HeadquartersNew York

Company Size51–200 employees

Founded2005

Hiring MarketsIndia

Frequently Asked Questions

What tech stack does Codewalla use?

Primary languages are Python and TypeScript; cloud platforms are AWS and GCP. AI/ML stack includes Bedrock, Vertex AI, LangChain, MLflow, and LangSmith. Infrastructure: Terraform, AWS CDK, GitHub Actions, Docker. Frontend: React, Next.js, FastAPI.

What is Codewalla working on?

Active projects include RAG pipelines with cost-aware vector search, LLM evaluation frameworks, MCP servers and agentic clients, front-end architecture modernization, and large-scale code migrations for multi-region storefronts and headless e-commerce platforms.