Default choices matter. Ours are deliberate, tested across many engagements, and chosen for production qualities rather than novelty.
Backend
Node.js or Python for most APIs. Go for performance-critical. Postgres for data. Redis for cache.
Frontend
React with TypeScript. Next.js for server-rendered products. Design system built on tokens.
AI
OpenAI, Anthropic, and open models based on task. Vector DBs: pgvector, Pinecone. LangChain selectively.
Infrastructure
AWS primary. Terraform. GitHub Actions. Sentry, Datadog. Boring, well-understood, reliable.
Who This Is For
- Prospective clients evaluating AIM Tech AI
- Engineering leaders considering a consulting partner
- Executives scoping AI, cloud, or custom software engagements
Common Mistakes
- Confusing engineering philosophy with process theater
- Choosing vendors on pitch decks instead of portfolio
- Outsourcing architecture decisions you will own for years
Business Impact
- Predictable delivery on multi-year engagements
- Engineering team that scales with your business
- Systems that survive handover to your own team
Frequently Asked Questions
Can we use a different stack?
Yes, when the project requires it. Defaults are defaults, not mandates.
Rust? Elixir?
For workloads where they matter. Not for general-purpose APIs.
Why not Rails/Django?
Fine choices. Our defaults match the team's depth and the kind of AI-heavy work we do.
Why AIM Tech AI
- Custom-built systems, not templates or off-the-shelf wrappers
- AI + backend + cloud + infrastructure expertise in one team
- Built for production scale, not demo-day experiments
- Beverly Hills, California — serving clients worldwide
Build Systems, Not Experiments
AIM Tech AI designs and ships AI, cloud, and custom software systems for companies ready to turn technology into real business advantage.
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