/ 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, AI-accelerated,
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, senior engineers paired with AI tooling build against it on one branch, with the model carrying the repetition and the engineers holding the bar. 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.
AI-accelerated
Senior engineers paired with AI tooling on a single branch. The model carries the repetition; the engineers hold the bar on architecture, edge cases, and the spec. Fewer handoffs, no drift, software shipped in weeks instead of quarters.
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.
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.
We ship our own
Not just client work.
The fastest way to judge a studio is to look at what it builds for itself. Here is ours, same spec-driven approach, same bar.
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Visit preveo.ai →Live · kiborg.io
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Know how safe your software really is. An inventory of every app, questionnaire-based assessment, and a clear risk score with readable heat maps and reports.
Visit kiborg.io →In the works
closecode
You describe what you need; closecode delivers it finished. Agents check and correct each other along the way, so mistakes get caught before they reach you.
Get notified →“We handed gifted3 a rough spec and got back production software that matched it line for line, on the date they committed to. No drama, no scope creep, just the thing we asked for, built properly the first time.”