Skip the Team — The Benefits of Having One Engineer
Why hiring one experienced engineer who covers your entire production can move your project faster, cost less, and produce a more coherent product than assembling a full team.
Marjo Forcado
When a project needs software, the instinct is usually to assemble a team.
A frontend developer. A backend developer. Someone for infrastructure. A QA tester. A project manager to keep everyone in sync. Before a single feature ships, you're already coordinating five calendars, five sets of opinions, and five monthly invoices.
For many projects, that's more machinery than the work actually needs.
Here's why having one engineer can be the better choice.
The graph below follows a request from you to a finished feature. With one engineer, it takes just 2 handoffs: from you to me, and from me to the product. With a team, the same request goes from you to a PM, from the PM to frontend, backend, infrastructure, and QA, and from each of them into the product. That adds up to 9 handoffs.
1. No handoffs, no lost context
On a team, every feature passes through several hands. The designer hands off to the frontend developer, the frontend developer waits on the backend, and the backend waits on infrastructure. Every handoff is a chance for details to get lost.
With one engineer, there are no handoffs. The person who understands why a button exists is the same person who writes the API it calls and the database query behind it. Context never has to be re-explained, because it never leaves one head.
2. Faster decisions
Teams need meetings. Meetings need agendas, alignment, and follow-ups.
When one engineer owns the whole stack, a decision that would take a week of back-and-forth can take an afternoon. If a frontend change means the API should return data in a different shape, I simply change both—no ticket, no waiting, no negotiation between teams.
3. One point of contact
You don't need to figure out who to ask. Whether it's a layout bug, a slow query, or a failed deployment, you talk to one person, and that person can actually fix it.
That also means clear accountability. There's no "that's the backend's problem" or "it works on my end." If something breaks, it's mine to fix.
4. A more coherent product
When different people build different layers, the seams often show: inconsistent naming, mismatched error handling, data shaped one way in the API and another in the UI.
One engineer brings one set of conventions to the entire codebase. The frontend, backend, and infrastructure are designed together, so they fit together.
5. Lower cost
This one is simple. One salary—or one contract—instead of several. No overhead from coordination, onboarding multiple people, or paying for time spent in meetings instead of building.
For early-stage products, MVPs, and internal tools, that difference can decide whether a project gets built at all.
6. Fewer bottlenecks than you'd expect
The common worry is that one person becomes a bottleneck. In practice, a full team often has more bottlenecks—they're just spread across people waiting on each other.
I also build AI into every step of my workflow—coding, code review, testing, and documentation—and bring a production-ready setup with CI/CD and unit tests from day zero. That combination lets one engineer ship at a pace that would traditionally take several.
How AI makes this possible
A few years ago, one engineer covering an entire production would have meant cutting corners. AI changes that. It doesn't replace the engineer—it takes over the work that used to require extra people, while I keep the decisions.
AI orchestration
My role shifts from writing every line to orchestrating the work. I break a feature into well-scoped tasks and run AI agents in parallel, each in its own isolated workspace: one implements the feature, another writes its tests, and another reviews the change. Every agent works from the context and constraints I give it, and every result comes back to me to integrate and verify. That's the throughput of several developers without the handoffs—the same planning, delegating, and reviewing a tech lead does for a team, except the team responds in minutes and there's still only one person directing the work.
Quality checks on every change
AI reviews every change before it's merged, catching bugs, security issues, and inconsistencies a tired human might miss. Combined with unit tests and a CI/CD pipeline, it acts as the QA tester and second reviewer a solo engineer traditionally lacks.
A codebase built for AI
I structure each project so AI tools can work in it reliably: documented conventions, a clear folder structure, and reusable instructions for common tasks. The better the codebase is organized, the more work I can safely hand off to AI—and the easier it is for any future engineer, human or AI, to pick it up.
What AI doesn't replace
AI writes code quickly, but it doesn't own the outcome. Understanding your business, choosing the architecture, deciding what to build and what to skip, and reviewing every change before it ships are still my job. AI multiplies the output of an experienced engineer; the experience is what keeps that output correct.
How I can help
Here's what I bring to your project, end to end:
- Web applications — Full-stack products with React, Next.js, and Node.js, from rapid prototypes to production-grade launches.
- Frontend — Fast, accessible, and maintainable interfaces in TypeScript, built on a clean component architecture.
- Backend — REST APIs, microservices, and databases designed to stay secure, reliable, and performant as traffic grows.
- Mobile and desktop — Cross-platform mobile apps and native desktop applications that share logic and quality standards with the web.
- DevOps and infrastructure — CI/CD pipelines, cloud deployments, monitoring, and vulnerability management, so every release ships with confidence.
- AI — AI-powered features, MCP servers, and agentic systems, plus a codebase structured so AI tools can work with it as well as people.
- Architecture and technical leadership — System design, technical decisions, and engineering practices that balance speed with long-term maintainability.
In practice, that means I can take your project from idea to production: shape the requirements with you, design the architecture, build every layer, set up deployment, and keep improving it after launch. If your team already exists, I can also step in where you need extra hands—leading a new product, building out a missing layer, or setting up the workflow your engineers build on.
If you're planning a new product, an MVP, or a project that needs to move quickly without losing quality, you might not need a team.
You might just need one engineer.