/ software engineering
Reliable software
from spec to deployment.
gifted3 / software is the engineering arm of the studio. We design, build, and operate AI platforms, backends, and applications for teams that need real software, typed, tested, observable, and shipped on schedule.
Engineering for the enterprise
Full-stack engineering solutions.
Outcomes delivered across the surfaces that matter, AI platforms, backends, product applications, and the infrastructure underneath.
01, AI Platforms
AI platforms & agentic systems
Production-grade AI products, retrieval, agents, evaluations, and the orchestration layer that keeps them accurate in the real world.
- LLM orchestration and tool-use
- Evaluation harnesses and guardrails
- Typed retrieval and RAG pipelines
- Observability for model behaviour
02, Backend Systems
Backend systems & data infrastructure
APIs, services, and data planes engineered to survive scale, typed contracts, idempotent workers, predictable tail latency.
- Typed API contracts (tRPC, GraphQL)
- Event pipelines, queues, workers
- Postgres, Redis, object storage
- Zero-downtime migrations
03, Applications
Web apps & product surfaces
SaaS products and internal tools with the rigor of real software, not stitched-together dashboards.
- Next.js, React, TypeScript
- Multi-tenant auth and billing
- Real-time, collaborative UIs
- Design system + accessibility
04, DevEx & Infra
Developer experience, infra & platform work
Repos, pipelines, and deploy targets teams actually enjoy using, measured in time-to-PR and time-to-prod.
- CI/CD with preview environments
- IaC, Terraform, Pulumi, SST
- Observability stack (OTel, Grafana)
- Cost + performance budgeting
Approach
Spec-driven, one-session
production-grade development.
We write the spec before we write the code, typed schemas, user flows, acceptance tests, observability, deploy target. Once the spec is signed, the build compresses into a focused session: senior engineers paired with AI tooling, working live on one branch, deploying from the first hour. The result is software that was production-grade by design, not by retrofit.
Spec
Typed schemas, user flows, acceptance tests, observability plan, and a deploy target, all written, reviewed, and signed off before a line of production code exists. The spec is the contract.
One session
A focused, time-boxed build run, senior engineers paired with AI tooling on a single branch, deploying from hour one. Fewer handoffs, no drift from the spec, a working system at the end of the day.
Production-grade
Typed contracts, evals, CI/CD, alerts, and on-call ready before the software is shown. Nothing we ship is a sketch, it runs, it observes itself, and it can take traffic on day one.
Capabilities
Opinionated on the stack, pragmatic on the edges.
A short list of the tools we reach for first. We're happy to work inside your existing stack, but if you're greenfield, this is the one we'd build on today.
TypeScript · Python · Go · Rust
Anthropic · OpenAI · open-source
Postgres · Redis · S3 · DuckDB
AWS · Vercel · Cloudflare · Fly
Terraform · Pulumi · SST
OpenTelemetry · Grafana · Sentry
WorkOS · Clerk · custom OIDC
Playwright · Vitest · evals
Engagement
Spec first. Ship twice as fast.
Spec
Typed schemas, user flows, acceptance tests. Written before the code. Signed before the sprint.
Prototype
Thinnest possible end-to-end slice. Deploys on day one. Real data, real auth, real deploys.
Build
AI tooling carries repetition. Senior engineers hold the bar on architecture and edge cases.
Ship & keep
CI/CD, previews, alerts, on-call. A monthly cadence of measured improvements.