🦜 Predictability vs Outcomes, Team Collapse, Lying Roadmaps, DRIs for AI, Defensive Feedback, Lazy Descoping, Slights at Work: TMW #504
Hello, hello, hello, welcome to the week!
Do AI Code Reviews take it a little too far...?
This week, a community member asked how others deal with AI code reviews that flag very unlikely edge cases. The question started the most active conversation in the community in the last week, with many members agreeing that an AI reviewer always finds a problem, because it does not know what “good enough” means for the business. Some teams saw review loops, where two AI tools changed the same code again and again for problems that will probably never occur. Other members said that the problem is larger than the review itself. When AI writes the code, nobody records which decisions were deliberate and which were only assumptions, so errors stay hidden until late.
Members shared some practical methods to control the review:
- Tell the reviewer to rank each finding by severity, and do not fix the minor findings.
- Use one agent to find a problem and a different agent to confirm it, so that false findings do not block a merge.
- Record the intent of each decision next to the code, and send changes with a high risk to a human.
- For large work, remove all assumptions with a detailed plan before the AI starts, and keep each change small.
If AI now reviews most of your code, who in your organisation decides what “good enough” means, and where is that decision written down?
That's it, let's look at some links! See you next week
Andy @ CTO Craft
CTO Craft Con - Dates for Your Diary
- 🇬🇧 CTO Craft Conversations: London - October 20th, etc.venues Monument, London, UK
- 🇬🇧 CTO Craft Con: Fintech - November 2nd - 3rd, Minster Building, London, UK
- 🇺🇸 CTO Craft Conversations: NYC - December 8th, The Hoxton, Williamsburg, NY
- 🇬🇧 CTO Craft Con: London - March 15th - 17th, QEII Centre, London, UK
Navigating the AI Speed Trap: Join Tech Leaders at YLD Innovate on 3 December
We’re excited to invite the CTO Craft community to YLD Innovate, YLD’s exclusive community event for technology leaders, on Thursday 3 December at the Financial Times London HQ. The evening brings engineering, AI, data and product design leaders together for peer discussion, in a closed environment with no sales pitches or vendor presentations.
The evening opens with a fireside chat hosted by Luis Klefsjö, YLD’s Head of Product Design, with Dr Emmanuelle Savarit, an adviser on AI strategy, governance and ethics, author of Practical User Research, with over 20 years’ experience leading research and insight teams, at The London Stock Exchange and Just Eat amongst others.
Sérgio Ramos, YLD’s Head of Engineering, then hosts a panel with Karl Oskar Teien, Chief Product Officer at the Financial Times, Carl Anderson, VP Engineering at Qonto, and Assad Hussain, Programme Manager at Nationwide. Together they’ll look at regulatory pressure and the trade-off between speed and quality, in decisions that often have no clear owner.
CTO Craft Mixers Coming Up
- 🇳🇴 Oslo Mixer - October 20th
- 🇷🇴 Bucharest Mixer - October 20th
- 🇮🇪 Dublin Mixer - November 5th
- 🏴 Manchester Mixer - November 18th
- 🏴 Edinburgh Mixer - November 19th
- 🇩🇪 Berlin Mixer - November 26th
See the whole calendar here - not in your city yet? Drop us a line!
Reads of the Week


Leadership, Strategy & Business




Culture, People & Teams




Technology, Operations & Delivery




Stress, Wellbeing & Growth




That’s it!
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Have an amazing week!
Andy















