Can AI coding agents make your product development measurably faster?

AI Delivery Audit for Your Engineering Team

Solid foundation for your AI strategy
Compact report with immediately actionable improvements
Focused audit with management and team
Finished audit within a week

In May 2026, Uber's COO had to admit that the entire annual AI budget was already spent, and that he couldn't say whether the teams using AI coding agents were actually getting faster.

Don't put yourself in that position.

Many of the companies I'm talking with right now give their engineers licenses for Cursor, Claude Code, or Codex, hoping above all for faster software development.

My experience guiding several companies shows clearly that the effectiveness of AI coding agents depends on many factors.

The good news is that these factors can be identified. That's why I've bundled all my experience from the past three years into this lean audit, to help you and your team get the most out of agentic software engineering.

If you've just started experimenting with AI coding agents, or you're still building out your AI strategy, now is the best time to

identify the blockers that reduce the effectiveness of AI in your development,
take countermeasures to perform better over the long term — with or without AI,
and develop a concept for how you can measure the agents' actual impact on your team.

What's included in the offer?

Focused Session with the Engineering Manager / Team Lead

Goal: overall impression of strategy, processes, and performance
Questions (among others):
- What does your development process look like (work organization, pull request culture, quality assurance, …)?
- How good is your team's delivery performance (throughput and stability)?
- How (if at all) do you use AI coding agents in your development, and what's the strategy behind it?

Duration: 60min
Format: video call
Language: German or English

Focused Session with the Engineering Team

When? On the same day or the day after
Goal: rounding out the impressions from Session #1, as well as cultural and technical additions
Questions (among others):
- How do you distribute work and responsibility among yourselves?
- How much time do you spend actively developing?
- How much time do you spend on other things, and which ones?
- What does your system and software architecture look like?
- What experiences have you had with AI coding agents so far?

Duration: 60–120min
Format: video call
Language: German or English

Compact Report as PDF

When? Within four business days
Answers to the following questions (among others):
- Can AI coding agents make your product development measurably faster?
- What are your biggest blockers, and what do potential solutions look like?
- Which small change has the biggest positive impact on the potential of AI coding agents in your team?
- What other measures can you take to achieve consistently high delivery performance?
- How can you meaningfully measure the success of the changes?

Language: German or English

Debrief Session with the Engineering Manager / Team Lead

Goals:
- Walkthrough of the report
- Clarification of open questions
- Recommendation for next steps

Duration: 45min
Format: video call

Investment: ~~from €500 depending on team size~~

€0 for the first five companies

Sounds like what you need right now?

Let's find a time for a short intro call. If it's a good fit, we'll set a window for the audit within the next 14 days. Free, of course, and with no obligation whatsoever.

Or write me an email (hi@martinzoeller.com)