The Arsenal

We don’t chase shiny tools. We pick technologies that stay reliable under load, stay secure by default, and stay maintainable when your product grows from “v1” to a real platform. Below is the stack we use most — plus the supporting infrastructure that makes it production-ready.

AI & Automation Infrastructure

Agents, RAG, evals, and edge vision — designed to be stable in production.

RAG Pipelines

Chunking, retrieval tuning, citations, and eval gates

Open-source LLMs

Llama / Mistral hosting with cost + latency controls

Vector DBs

Pinecone / pgvector for semantic search and memory

Agent Tooling

LangChain-style orchestration + tool routing + guardrails

Vision Inference

YOLO-class real-time detection + tracking

Edge Optimization

TensorRT / ONNX for fast inference on constrained devices

Automation

n8n / webhooks / queues for reliable workflow execution

Evals & Monitoring

Golden sets, regressions, quality metrics, drift checks

Model Serving

vLLM / TGI + batching, KV cache, rate limits, and cost controls

AUTOMATION_ENGINE: ONLINEstable

Core Web Engineering

The frontend and application layer — optimized for speed, SEO, and maintainability.

Next.js (App Router)

Server Components, caching, streaming, metadata

TypeScript

Strict types to prevent production regressions

Tailwind CSS

Utility-first styling with consistent UI primitives

Framer Motion (selective)

Only where it helps UX — not on LCP

Accessibility

Keyboard, focus states, semantic structure, ARIA hygiene

Performance budgets

LCP/TBT targets and bundle discipline

Backend & Data

Data modeling, APIs, and realtime systems designed for correctness and scale.

PostgreSQL

Schema design, indexes, migrations, and backups

Supabase

Auth + Postgres + RLS policies for secure data access

Prisma

Type-safe access layer and migrations

Redis

Hot cache, rate limiting, sessions, and queues

Queues

Background jobs for heavy work and reliability

API Design

REST/GraphQL patterns, versioning, pagination, limits

Infrastructure & Deployment

Repeatable deployments with sane defaults, rollback paths, and cost visibility.

Vercel / Edge

Global delivery, caching, and fast iteration loops

Docker

Consistent builds and local parity with production

Kubernetes (when needed)

Workloads, scaling, and service orchestration

CI/CD

Staging, previews, automated checks, safe rollouts

CDN & caching

Cache headers, ISR/SSR strategy, revalidation

Secrets & env

Secure handling, rotation strategy, least privilege

Security Engineering

Hardened by default: access control, data protection, and safe operational practices.

RLS / RBAC

Row-level security and role-based permissions

OWASP alignment

Input validation, auth flows, common vulnerability defense

Secure headers

CSP, HSTS, frame guards, and content policies

Rate limiting

Abuse prevention + bot mitigation patterns

Dependency hygiene

Audit, pinning, and upgrade strategy

Incident readiness

Logs, alerts, and audit trails that help in reality

Observability & Reliability

Know what’s happening in production: trace issues fast, ship fixes with confidence.

Structured logging

Searchable logs with request context

Metrics + SLOs

Latency/error budgets aligned to business outcomes

Tracing

Request-level visibility across services

Alerting

Actionable alerts with runbooks, not noise

Uptime checks

Synthetic probes and user-centric monitoring

Performance profiling

Spot CPU/IO hotspots and fix bottlenecks

Testing & Quality

Guardrails that keep velocity high without shipping breakage.

Unit tests

Fast logic validation and regression prevention

Integration tests

DB/API coverage for real workflows

E2E tests

Critical paths validated (auth, payments, forms, dashboards)

Linting + formatting

Consistency across teams and codebases

Type-safe APIs

Prevent mismatches between client and server

Release checks

Build gates and smoke tests before rollout

Developer Platform

Tooling that makes teams faster: clean DX, predictable environments, documented flows.

Monorepo patterns

Shared packages, consistent tooling, clean boundaries

Code owners

Clear ownership and review discipline

Docs that survive

Runbooks, setup guides, architecture notes

Feature flags

Ship safely and control blast radius

Local parity

Dev env close to production behavior

Migration playbooks

Incremental upgrades without downtime

Systems & Embedded

Low-level systems where stability matters: kiosks, locked-down environments, and edge devices.

Linux (Arch-based)

Custom images, read-only root, hardened boot paths

Rust / C++

Performance-critical services and native tooling

Systemd

Reliable service supervision and startup orchestration

FFmpeg / WebRTC

Low-latency streaming and real-time media pipelines

Device management

Remote logs, updates, and fleet visibility

Offline-first design

Works in poor networks with sync patterns

Privacy & Access Control

Data handling and access patterns designed to be safe under real-world constraints.

Least privilege

Scopes, roles, and minimal access tokens

Audit trails

Who did what, when, and why — traceable actions

PII minimization

Collect what you need, protect what you store

Encryption strategies

At-rest and in-transit protection

Secure auth flows

Session hardening, rotation, and safe redirects

Policy enforcement

Guardrails for sensitive operations

Tooling & Automation

Pragmatic automation that reduces manual work without creating fragile systems.

n8n / Webhooks

Automate ops and business workflows with visibility

Worker patterns

Non-blocking heavy tasks and scheduled jobs

Data pipelines

Transform, validate, and sync across systems

Scrapers (robust)

Retries, dedupe, and breakage resistance

Notifications

Alerting + messaging tied to real events

Runbooks

Operational clarity when something fails

Configuration & Hardening

Baseline setups that keep systems stable over time — fewer surprises, easier maintenance.

Caching strategy

Edge caching, revalidation, stale-while-revalidate

Build optimization

Tree-shaking, split points, and smaller bundles

Image strategy

Correct sizes, formats, and priorities for LCP

CSS discipline

Avoid render blocking, keep critical CSS lean

Runtime checks

Guard against bad inputs and invalid states

Security headers

CSP + hardened defaults

Built for scale.

If you want this kind of stack applied to your product — with performance budgets, observability, and security baked in — we can scope it quickly and ship it cleanly.

Clean delivery. Clear handoff.