OUR APPROACH
Agentic Engineering
New Playbooks. Same Target.
AI has fundamentally changed how software is written. Here’s how we’re adapting alongside it all.
At Foxbox, agents plan, write, test, and review code on nearly every project. But human engineers stay at the helm. They own the architecture, set the guardrails, and are responsible for what ships.
This page breaks down what it all looks like in practice.
Agentic Engineering, defined.
Agentic engineering is a way of building software where AI agents take on scoped units of work, like planning a feature, writing code, or reviewing a pull request, while engineers direct the work, check it, and take responsibility for the result. Agents work with more independence than an autocomplete tool. Engineers stay accountable for everything they produce.
Six Principles that Guide Agentic Engineering at Foxbox
Regardless of project size or scope.
The Role of Agents
Orchestrators Plan
Orchestrators take a defined objective, break it into scoped tasks, map the dependencies, and put everything in the right order. They also decide what each builder needs to know, so every agent gets exactly the context it needs and nothing more. Before any building starts, an engineer reviews the plan, makes any adjustments, and approves it.
Builders Execute
Then the builders begin. Each one owns a single scoped task with its own instructions and its own context window, so they can all run side by side. They handle features, integrations, migrations, and replatforming, writing tests alongside the code as they go. Engineers monitor progress at every step and ensure code quality never wavers.
Reviewers Verify
The reviewer checks work it didn't write. It measures each change against the acceptance criteria without ever seeing the builder's reasoning. From there it runs code review, test and regression checks, and security and compliance checks, flagging anything that falls outside the task's scope. Finally, an engineer signs off before anything gets merged.
Agentic Engineering in Practice: Freshpaint
Freshpaint, a healthcare marketing privacy platform, needed its iOS, Android, and React Native SDKs rebuilt, plus mobile measurement partner (MMP) attribution, without exposing patient data. Our team worked with Claude Code across the workflow: planning before tickets were picked up, building ticket by ticket, having agents self-review before pushing, and running a first-pass pull request review that flagged formatting issues and out-of-scope changes. Engineers handled the final review on every change.
Read the case study
Build What You Couldn't 6 Months Ago
It's a remarkable time to build software. Agents now handle much of the repetitive work that once ate up budgets and timelines, which frees people to focus on what actually drives the success of a product. Tools change, our mindset doesn’t: Aim for indispensable.
Frequently Asked Questions
You ask. We answer.