MSTRMND AI

Technology

Stack

The systems layer we design and ship against.

For operators and engineers who want the actual surface area — models, languages, runtimes, data, cloud, agent harnesses, and the enterprise systems we connect into. Not a vendor checklist. The stack we audit, architect, and execute with.

OpenAI
Anthropic
Google Gemini
xAI
Grok
Hugging Face
OpenAI
Anthropic
Google Gemini
xAI
Grok
Hugging Face
OpenAI
Anthropic
Google Gemini
xAI
Grok
Hugging Face
OpenAI
Anthropic
Google Gemini
xAI
Grok
Hugging Face
TypeScript
JavaScript
Python
Rust
C++
Swift
Bash
TypeScript
JavaScript
Python
Rust
C++
Swift
Bash
TypeScript
JavaScript
Python
Rust
C++
Swift
Bash
TypeScript
JavaScript
Python
Rust
C++
Swift
Bash
React
Next.js
Node.js
Svelte
Angular
HTML5
Tailwind
React
Next.js
Node.js
Svelte
Angular
HTML5
Tailwind
React
Next.js
Node.js
Svelte
Angular
HTML5
Tailwind
React
Next.js
Node.js
Svelte
Angular
HTML5
Tailwind
PostgreSQL
Redis
Supabase
Neon
Prisma
MongoDB
GraphQL
PostgreSQL
Redis
Supabase
Neon
Prisma
MongoDB
GraphQL
PostgreSQL
Redis
Supabase
Neon
Prisma
MongoDB
GraphQL
PostgreSQL
Redis
Supabase
Neon
Prisma
MongoDB
GraphQL
Vercel
AWS
Cloudflare
Docker
Kubernetes
Terraform
Nginx
Linux
Vercel
AWS
Cloudflare
Docker
Kubernetes
Terraform
Nginx
Linux
Vercel
AWS
Cloudflare
Docker
Kubernetes
Terraform
Nginx
Linux
Vercel
AWS
Cloudflare
Docker
Kubernetes
Terraform
Nginx
Linux
GitHub
GitHub Actions
Cursor
VS Code
Figma
Agents
Hermes
Pipelines
GitHub
GitHub Actions
Cursor
VS Code
Figma
Agents
Hermes
Pipelines
GitHub
GitHub Actions
Cursor
VS Code
Figma
Agents
Hermes
Pipelines
GitHub
GitHub Actions
Cursor
VS Code
Figma
Agents
Hermes
Pipelines
Salesforce
SAP
Slack
Notion
FastAPI
Django
Salesforce
SAP
Slack
Notion
FastAPI
Django
Salesforce
SAP
Slack
Notion
FastAPI
Django
Salesforce
SAP
Slack
Notion
FastAPI
Django

Spec surface

Depth for people who already speak the stack.

Categories below are how we usually cut the architecture conversation — model plane, language plane, product surface, data, infra, tooling, and systems of record.

01 — Models & agents

Multi-model by design. Harnessed for production.

We architect against model APIs and open weights — routing, evaluation, memory, tool use, and human-in-the-loop controls. Agent harnesses, Hermes-style runtimes, and pipeline orchestration so intelligence compounds instead of becoming another brittle demo.

  • OpenAI GPT family
  • Anthropic Claude
  • Google Gemini
  • xAI Grok
  • Hugging Face / open weights
  • Agent harnesses & tool routers
  • Hermes & orchestration runtimes
  • Eval, tracing, and guardrails

02 — Languages & runtimes

Systems languages where it matters. Scripting where it ships.

TypeScript and Python for product and agent surfaces. Rust and C++ when latency, safety, or native edges demand it. Swift for Apple clients. Bash and Linux for the glue that keeps pipelines honest.

  • TypeScript / JavaScript
  • Python
  • Rust
  • C++
  • Swift
  • Bash / shell
  • Node.js
  • Linux environments

03 — Product surfaces

Modern web stacks, not framework religion.

React and Next.js as the default commercial surface. Svelte or Angular when the existing estate requires it. Tailwind and HTML5 for interfaces that stay fast and maintainable under real operating load.

  • React
  • Next.js
  • Svelte
  • Angular
  • HTML5
  • Tailwind CSS
  • Node services

04 — Data & backends

Operational truth lives in the data plane.

Postgres as the backbone. Redis for hot paths. Supabase and Neon when we want managed velocity without giving up SQL. Prisma and GraphQL where the access layer needs structure.

  • PostgreSQL
  • Redis
  • Supabase
  • Neon
  • Prisma
  • MongoDB
  • GraphQL
  • FastAPI / Django

05 — Cloud, CI, infra

Shipable infrastructure with explicit failure modes.

Vercel and Cloudflare for edge/product delivery. AWS when the estate is already there. Docker and Kubernetes for portable runtime. Terraform, GitHub Actions, and Nginx for the path from commit to production.

  • Vercel
  • AWS
  • Cloudflare
  • Docker
  • Kubernetes
  • Terraform
  • GitHub / Actions
  • Nginx

06 — Tooling & delivery

IDEs, agents, and the pipes between them.

Cursor and VS Code for human+agent development loops. GitHub as source of truth. Pipelines for build, eval, and deploy. We design the harness around how teams actually work — not how slide decks claim they work.

  • Cursor
  • VS Code
  • GitHub
  • CI pipelines
  • Agent tooling
  • Figma handoff

07 — Enterprise systems

Intelligence that attaches to the systems of record.

CRM, ERP, comms, and knowledge layers are usually the constraint. We map Salesforce, SAP, Slack, Notion, and adjacent suites into the architecture so agents and workflows have real context — with permissions and auditability intact.

  • Salesforce
  • SAP
  • Slack
  • Notion
  • Custom CRM / ERP
  • SSO / identity boundaries

Next

Have a stack already? We map it before we prescribe.

Bring the repo, the CRM, the model bills, and the friction. We'll tell you what to keep, cut, and rebuild.

Book an intro callSee the method