Show Notes
Coding Chats episode 70 - Aaron LeClair discusses the top five mistakes startup CTOs make, covering everything from misunderstanding development pipelines to failing to make the leadership identity transition. The conversation explores AI adoption parallels, team diversity, hiring pitfalls, the "move fast and break things" mantra, and why a CTO's first team should be the C-suite — not the engineering team.
Chapters 00:00 Scaling the Pipeline: Common Mistakes of CTOs 03:13 Understanding the Development Environment 05:59 The Importance of Team Diversity 09:03 Building Effective Teams 11:53 Hiring for Fit: The Cost of Misalignment 14:36 The Role of Leadership in Team Dynamics 33:52 Building Effective Teams as a Leader 37:35 Transitioning from Engineer to Leader 43:31 Hiring the Right Technical Leaders 46:01 Understanding the Role of CTO in Start-ups 54:40 The Balance of Speed and Quality in Development 01:01:24 Exploring Related Content
Aaron's Links: https://www.linkedin.com/in/aaronleclair/
John's Links:J ohn's LinkedIn: https://www.linkedin.com/in/johncrickett/ John’s YouTube: https://www.youtube.com/@johncrickett John's Twitter: https://x.com/johncrickett John's Bluesky: https://bsky.app/profile/johncrickett.bsky.social
Check out John's software engineering related newsletters: Coding Challenges: https://codingchallenges.substack.com/ which shares real-world project ideas that you can use to level up your coding skills.
Developing Skills: https://read.developingskills.fyi/ covering everything from system design to soft skills, helping them progress their career from junior to staff+ or for those that want onto a management track.
Takeaways Scaling your dev team without first fixing QA, product management, and stakeholder flow will create more problems than it solves.AI adoption falls into the same trap — faster code generation doesn't help if requirements, testing, and deployment are still bottlenecks. Invest in tooling, DevOps, and documented processes early, as poor systems frustrate great engineers just as much as poor management. Always ask why a process exists — the original reason may no longer apply, and changing it is often easier than expected. Build teams like an Ocean's 11 cast: diverse in skills, backgrounds, and working styles, not a clone army of specialists in the same stack. Hire generalists with depth in different areas who can flex as start-up needs shift, and reserve deep specialists for your true business differentiators. A failed hire is most often a leadership failure — you had more information than the candidate, so treat every miss as a learning opportunity. The most important things a CTO does are hiring and developing people — if a leader is still submitting PRs to a team of more than three, that's a red flag. A CTO's primary team is the C-suite, not the engineering team — treating engineers as "your team" creates an us-vs-them culture that damages the whole business. Match technical leadership seniority to your company stage — pre-product-market-fit you need a generalist head of engineering, not a full CTO."Move fast and break things" is valid pre-product-market-fit for validating hypotheses, but once you have real customers it becomes an excuse for poor process.
More from Coding Chats
Coding Chats Episode 83 - In this episode, VB from OpenAI’s developer experience team explains why he thinks plan mode is obsolete and how coding agents have shifted from step-by-step instructions to outcome-driven, long-running work. We cover how to write a good agents.md, why tests still matter when agents write the code, spec-driven development, and why cloud agents may be the future of dev tooling.
Coding Chats Episode 82 - John talks with Dave Westgarth, head of delivery at a Databricks consultancy. Dave shares his path from a psychology degree and McDonald's into tech, and they discuss why the Scrum Master role is so misunderstood, how it differs from a delivery manager, and whether either needs to be technical.They also look at how AI is changing delivery work. Faster code just moves the bottleneck upstream, John argues there's no AI-specific skill you can't learn in a day, and engineering fundamentals are what make AI useful.
Coding Chats Episode 81 - Ben Howdle talks to John Crickett about being a first time CTO in a start-up. Ben, author of The First CTO, shares what changes when you move from building technology to leading a technical team: the pressure, the trade-offs, and the realization that writing code is only part of the job.Drawing on startup experience and lessons learned the hard way, Ben discusses how to balance quality against runway, manage people, and communicate technical decisions in terms that founders and other non-technical stakeholders can understand. He also explores why resourcefulness, resilience, and comfort with ambiguity matter so much—and why CTOs often spend more time selling ideas than they expect.Whether you’re stepping into your first CTO role or leading a technical team at an early-stage company, this conversation offers candid insights into the realities of technical leadership.
Coding Chats Episode 80 - start-up advisor Alexander Berkovich shares his expertise on building successful start-ups, hiring strategies, CTO roles, and the importance of communication between technical and business teams. Discover practical tips for navigating the challenges of early-stage companies and how to align technical excellence with business goals.
Coding Chats Episode 79 - Richmond Alake, Director of AI Developer Experience at Oracle, joins John to discuss agent memory — how AI agents store, retrieve, and adapt to information. He argues that developers building memory on flat files are naively reinventing the database, and that once you factor in concurrency, security, and scalability, a proper database is inevitable. The conversation covers the full memory stack and how Oracle's AI database keeps embeddings and data together without shipping sensitive information to external providers.