The Intelligent Engineering Sprint is a six-week implementation engagement. We use DevNitro with your team on real production work. We measure throughput, cycle time, and correction work against your own history. Your team learns how to keep working this way after the Sprint ends.
Engineering leaders hear AI claims every day. Meanwhile, backlogs grow and teams spend more time fixing AI output that does not fit.
AI may help one developer move faster, but the backlog can still outpace the team. The gap between planned and finished work keeps growing.
Your most experienced engineers keep correcting AI output and re-explaining architecture instead of building what only they can build.
When key context stays in chats or in one person's head, teams repeat past work and lose hard-won knowledge.
Tool demos do not show what will happen on your backlog. Without a clear baseline and real work, leaders cannot judge the result.
AI coding agents changed how individual developers write code. They did not change how your organization builds software. Fixing that takes an operating model with shared practices, saved context, architectural knowledge, and coordinated work. The Sprint helps your team put that model into daily use.
The Sprint is not staff augmentation or outsourcing. We work with your team, not in place of it. Together, we apply the Intelligent Engineering operating model to production work and measure what changes.
The Sprint tests the operating model on the work your team must ship, then compares the result with your own history.
No toy demos. The work is what you were already going to ship, to your own definition of done.
Engineering throughput and cycle time on real deliverables, not activity metrics or a feeling in the room.
Results are measured against your organization's own trailing performance, so the readout is a number you can defend.
Your team learns the practices and workflows during the Sprint, so it can keep using them after the engagement ends.
A six-week implementation engagement on your real production backlog. We deliver the Sprint with DevNitro because it is the only platform that fully implements the Intelligent Engineering operating model today.
We capture how your organization delivers today, using your own historical throughput and cycle time. Before anything changes, we establish the number the Sprint will be measured against.
We put the operating model in place on your real backlog, alongside your engineers, clearing actual work. They learn the model by seeing it applied to their own code, not a demo.
Your team takes on more of the work while we coach. This helps the new way of working take hold without making your team depend on us.
You get a clear before-and-after on your own numbers, plus a plan to extend the operating model across the rest of engineering.
The Sprint is for engineering organizations ready to use DevNitro on their production backlog and measure the result. Each person who uses DevNitro during the Sprint needs an active builder seat purchased directly from DevNitro.
If your team wants to learn the operating model while keeping tools such as Claude, Codex, Copilot, or Cursor, start with the Intelligent Engineering Workshop. The Workshop shows your team how to apply the model with its current tool stack.
A focused six-week engagement that applies Intelligent Engineering to work already in your backlog.
Timeline. Six weeks, delivered remotely alongside your existing delivery process.
Who it is for. .NET engineering organizations already using AI coding tools where the backlog is still growing.
Scope. One or two real production epics that a strong team could ship in a few sprints without AI.
Measurement. Throughput, cycle time, and correction overhead compared to your trailing delivery history.
Readout. A before and after based on your own numbers plus a rollout plan to extend Intelligent Engineering across the rest of engineering.
We apply the operating model to work that matters: your production backlog, your architecture, and your definition of done. You see the result on deliverables your team already owns, not on an isolated demo.
Each engagement compares results with your own baseline. We report measures tied to finished production work, not AI activity.
Engineering throughput. How much production work the organization completes, measured against its own trailing history.
Cycle time. How long work takes to move from start to done, before and after the operating model is installed.
Organizational capability. Whether the improvement lives in the organization or only in the people who happened to be in the room.
Repeatability. We run a two-sprint minimum, so the gain shows up as a real trend, not a one-time fluke. You see whether the practices hold up sprint after sprint as repeatable systems.
Organizational adoption. How widely the operating model takes hold across the team, and what it will take to extend it further.
Service guarantee. If your team meets the agreed activation checklist and, by the end of week six, you do not see a measurable improvement in at least one core metric against your baseline, we will continue working with your team for up to four additional weeks at no extra fee until you do or we reach week ten.
GlobalCove's founder, Chad Carter, defined the Intelligent Engineering category. Across 29 years in software, he has architected systems Fortune 500 companies depended on daily, served a decade as a Microsoft MVP, and authored best-selling technical books. That authority is what lets us step into your production codebase and install a durable operating model, safely, from day one. Learn the fundamentals of Intelligent Engineering.
The Sprint is a fixed fee engagement, not staff augmentation. A focused six week transformation of how your team delivers on its production backlog using DevNitro.
Standard Sprint fee. The Intelligent Engineering Sprint is priced per sprint, with a two sprint minimum. Standard pricing is $20,000 per Sprint, so most clients begin with a six week, two Sprint engagement at $40,000.
Founding Sprint clients. For the first five Sprint clients we work with, we offer a founding rate of $10,000 per Sprint for the same two Sprint engagement. Once those five founding Sprints are filled, all new Sprints run at standard pricing.
DevNitro licenses. Because the Sprint runs on DevNitro, every developer working on the Sprint backlog needs an active DevNitro builder seat billed separately from the Sprint fee. DevNitro pricing is published on devnitro.com and we size the required seats together during the Intelligent Engineering Assessment.
Scoped from the Assessment. The free Intelligent Engineering Assessment confirms fit, selects the production epics to use, and makes sure we are confident we can create measurable improvement before we ever suggest a Sprint.
Not every organization needs the Sprint. The assessment looks at your engineering organization and recommends the right path: the Workshop to learn the operating model, the Sprint to prove it on production work, or custom software when you need an outside team. You leave with a clear, honest recommendation, not a fixed pitch.
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