We empower you in AI-driven software development

Not if the setup is correct. The Business and Enterprise plans from major providers exclude training with customer code – though with some tools, this only applies if the corresponding mode is explicitly enabled. This is exactly where gaps arise in practice: A single developer on a personal plan can circumvent any policy. We’ll set up the environment together with your team so that the configuration doesn’t depend on any one individual, review the data processing agreements of the providers used, and document which data flows where.

It’s the norm. According to the Stack Overflow Developer Survey, over 80 percent of developers use AI tools or plan to—regardless of whether it’s officially permitted. A ban does little to change this; it merely shifts usage to places where you can no longer see it: private accounts, free plans, and no record of which code has left the company. The more effective approach is an approved path that’s more convenient than the unofficial one. That’s exactly what we’re building with you.

Those studies are correct—when it comes to unstructured work. Anyone who just starts generating code without rules, without a curated context, and without automated checks saves time on writing but loses it on reviewing. Sometimes more than they saved in the first place. The difference lies not in the model, but in the environment: A well-designed harness with binding conventions, a maintained project context, and automated quality gates ensures that not much unusable code is produced in the first place—and that what is produced can be tested much faster. Our own experience since 2025 shows that under these conditions, we’re up to three times faster at coding.

By ensuring that quality doesn’t depend on the good will of individuals, but is embedded in the process. AI amplifies existing practices—both good and bad. Where no architectural rules applied before, violations now arise more quickly. That’s why we define which standards apply before the rollout and enforce them technically: through automated checks during the build, defined release points, and a set of rules that the agent must also follow. Anything that fails the check does not make it into the main branch.

Yes, and that’s often where the greatest impact lies. AI agents are good at making sense of unfamiliar code, revealing connections, and filling in gaps in testing and documentation – tasks that regularly get left undone in day-to-day work. The prerequisite is that the agent knows clear boundaries: Which areas is it allowed to touch, which architectural rules apply, and where is the interface with the rest of the system? We define exactly these boundaries together before we start working with the existing code.

We take that skepticism seriously because it’s usually justified. The concern is rarely “AI will replace me,” but rather “I’ll become the person responsible for reviewing code I didn’t write.” That’s why we don’t rely on lecture-style training, but instead use real tasks from your project and involve experienced developers early in the design process: They define the rules, the architectural boundaries, and the checkpoints. Those who set the guidelines themselves are more likely to trust the result.

Focus on results, not usage metrics. The number of active licenses or the amount of code generated by AI tells us very little. What truly matters is how much of that code remains unchanged in the system after several weeks, how lead times and error rates evolve, and how the team itself evaluates the work. We define these key performance indicators together at the outset—ideally before the rollout begins, as you lose your baseline for comparison once it’s underway.

The language model is the engine; the harness is the vehicle, the road, and the traffic rules. It encompasses everything that makes a model usable within the company: rule sets, integration with your tools, workflow control, guardrails, logging, and approval points. The vast majority of the impact comes from here—not from the model itself.