Coding Chats

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.

Coding Chats episode 69 - John Crickett and Sairam Sundaresan discuss the evolving landscape of artificial intelligence (AI) and its implications for learning, software development, and organizational culture. Sairam emphasizes the importance of bridging the gap between technical and business perspectives on AI, advocating for a hands-on approach to learning. They explore the hype surrounding AI, particularly large language models (LLMs), and the need for a cultural transformation within organizations to effectively adopt AI technologies. The discussion also touches on the future of software engineering in an AI-driven world, highlighting the blurred lines between roles and the necessity for continuous learning and adaptation.

Chapters

00:00 Bridging the Gap: Understanding AI for Everyone

03:44 Learning AI: A Practical Approach

06:29 The Evolution of AI: From Hype to Reality

09:33 Generative AI: The Current Landscape and Future Directions

12:35 Transformative Use Cases: Beyond Basic Applications

15:23 The Art of Questioning: Engaging with AI Effectively

18:36 Navigating Large Codebases: AI as a Tool for Engineers

21:24 Writing and Coding: Learning from the Masters

27:42 Harnessing Subagents for Efficiency

29:48 Bridging the Gap Between Business and Tech

31:35 Cultural Transformation in AI Adoption

34:22 Understanding AI Fundamentals for Better Collaboration

36:11 The People Problem in AI Implementation

39:26 Evolving Roles in Software Engineering

42:26 The Resurgence of Software Engineering

44:37 Leading an AI-First Organization

49:16 Learning by Doing in AI

52:03 Navigating the Landscape of AI Research and Publications

54:05 Exploring Related Content

Sairam's Links:

Book- AI for the Rest of Us:https://www.amazon.com/dp/B0F29THNLT

Substack Gradient Ascent: https://newsletter.artofsaience.com

John's Links:

John'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

AI is essential for modern products and services.

Bridging the gap between business and engineering is crucial.

Learning AI requires a hands-on approach, not just theory.

Cultural transformation is necessary for successful AI adoption.

Understanding the basics of AI is vital for all roles.

The hype around AI often overshadows other important areas.

Software engineering is evolving with AI technologies.AI tools can enhance productivity but require thoughtful use.

Continuous learning is key in the fast-paced AI landscape.

The roles within organizations are becoming more integrated.

Coding Chats episode 68 - Paulina Dubas shares her experiences and insights on the importance of public speaking at conferences, the challenges engineers face in communication, and the benefits of networking within the tech community. She discusses the significance of understanding AI in the workplace, the ongoing issues of gender balance in tech, and the value of an MBA for engineers transitioning into business roles. The conversation emphasizes the need for inclusivity and the importance of sharing knowledge and experiences to foster growth in the industry.

Chapters

00:00 The Benefits of Speaking at Conferences

05:07 Overcoming Public Speaking Challenges

09:04 Key Lessons for Aspiring Speakers

10:49 Navigating AI in the Workplace

14:48 The Gender Balance in Tech

22:07 Creating Inclusive Workplaces

24:48 Consulting vs. Product Roles

27:32 The Value of an MBA for Engineers34:28 Exploring Related Content

Paulina's Links

LinkedIn : https://www.linkedin.com/in/paulinadubas/

website : https://paulinadubas.com/

YouTube : https://www.youtube.com/@PaulinaDubas

John's Links:

John'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

It's beneficial to be involved in the community and put yourself out there.

Public speaking helps deepen your understanding of topics.

Overcoming the fear of public speaking can enhance communication skills.

Networking at conferences can lead to valuable connections.

You don't need to be an expert to speak at conferences.

Starting small can build confidence for larger speaking engagements.

AI tools need proper processes and training for effective use.

Banning AI tools is a temporary solution that can lead to bigger issues.

Gender balance in tech starts from early education and cultural perceptions.

Consulting roles provide diverse experiences that accelerate learning.

Coding Chats episode 67 - Matt Boyle discusses the innovative AI software engineering platform, Ona, which aims to enhance productivity by automating coding tasks and managing multiple AI agents. The discussion covers the importance of planning, security, user experience, and the future of software development with AI. Matt emphasises the need for good specifications and the role of feedback in improving AI-driven development processes.

Chapters

00:00 Introduction to Ona and AI Software Engineering

03:24 Parallelising AI Agents for Enhanced Productivity

06:16 Enterprise Solutions and Security in AI

09:21 User Experience and Unique Features of Ona

11:53 Feedback and Growth Initiatives at Ona

14:45 The Ralph Loop and Its Implications for AI Development

25:20 Understanding Context Management in AI Models

27:48 Optimising Task Management with Context Windows

31:45 The Importance of Clear Specifications

36:07 Enhancing Software Development with AI Tools

39:26 Demonstrating AI-Driven Development Environments

46:11 The Future of AI in Software Engineering

Matt's Links:

Ona: https://ona.com/Matt's LinkedIn: https://www.linkedin.com/in/mattjamesboyle/Matt's Twitter: https://twitter.com/MattJamesBoyleMatt's Website: https://www.bytesizego.com/

John's Links:

John'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

Ona is focused on building AI software engineers to enhance productivity.

Human attention is treated as the most valuable resource in AI development.

The platform aims to provide a calm user experience by managing multiple AI agents effectively.

Ona allows for parallelisation of tasks across different environments to improve efficiency.

Security is a priority, with AI agents operating within the customer's cloud environment.

The integration with tools like Jira and Linear enhances the planning process.

Good specifications are crucial for successful AI-driven development.

The Ralph Loop encourages deeper thinking in AI task completion.

Ona is targeting both enterprise and individual developers to broaden its user base.

The future of software development will involve AI managing entire backlogs and driving changes autonomously.

Coding Chats episode 66 - Alex Garella discusses the current state of the Rust job market, highlighting its mixed nature amidst broader software development trends. He emphasizes the importance of specific skills and industry experience, particularly in emerging technologies like data infrastructure. The impact of AI tools on software development and hiring practices is explored, along with strategies for breaking into the Rust market, including open source contributions and leveraging LinkedIn effectively.

Chapters

00:00 The Current State of the Rust Job Market

03:15 Skills in Demand for Rust Developers

05:46 Emerging Domains for Rust Applications

08:44 Rust's Role in AI and Machine Learning

11:38 The Evolution of Interview Processes

14:30 Challenges in Hiring Rust Developers

17:28 Navigating the Job Market as a New Rust Developer

20:27 Leveraging LinkedIn for Job Opportunities

23:21 Final Tips for Aspiring Rust Developers

Alex's Links:

https://rustjobs.dev/

https://scalajobs.com/

John's Links:

John'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

The Rust job market is currently mixed, with both opportunities and challenges.

Experience in specific industries is often more valuable than tool-specific knowledge.

Emerging technologies, especially in data infrastructure, are driving demand for Rust.

AI tools are changing the landscape of software development and hiring.

Hiring managers need to adapt their interview processes to account for AI usage.

Open source contributions can significantly enhance a developer's profile.

Tailoring CVs too specifically can raise red flags for recruiters.

Remote work options can broaden the talent pool for Rust developers.

Developers should not limit themselves to Rust when seeking jobs.

Persistence and passion for Rust can lead to job opportunities.

Coding Chats episode 65 - Mike Rispoli discusses his experience of building a Loom replacement through vibe coding, the economic implications of AI for small agencies, and the evolving landscape of software engineering. He emphasizes the importance of hand coding, the challenges of interviewing in the age of AI, and the necessity of clear requirements when working with AI tools. The discussion also touches on the future demand for software engineers and the role of UX in AI-generated code.

Chapters

00:00 Building a Loom Replacement in 30 Minutes

03:40 The Challenges of SaaS Pricing Models

06:29 AI's Impact on Small Businesses and Enterprises

09:19 Interviewing in the Age of AI

11:59 The Future of Coding and AI Integration

26:45 The Importance of Clear Requirements

28:31 Navigating AI in Development

31:31 Feature Creep and Planning

32:30 The Evolving Role of Engineers

34:34 Workflow and Planning with AI

38:45 Iterative Development and Feedback

42:28 Leveraging AI for UX and Design

45:59 The Future of Software Engineering

Mike's Links:

https://www.linkedin.com/in/michael-rispoli-cto

https://x.com/michael_rispoli

https://www.instagram.com/mike_rispoli_cto

https://michaelrispoli.com/

John's Links:

John'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

Mike built a Loom replacement in just 30 minutes using vibe coding.

AI tools can significantly enhance productivity for software engineers.

The SaaS pricing model can be complicated for small agencies.

It's acceptable to pass on good candidates but not to hire the wrong ones.AI is likely to amplify the demand for software engineers rather than replace them.

Feature creep is a common challenge in software development.

Clear requirements are essential when working with AI tools.

The future of software engineering is promising and exciting.

AI can help engineers improve their design capabilities.

Navigating the evolving landscape of software engineering requires adaptability.

Coding Chats episode 64 - Jakob Sagatowski discusses his unique collaboration with YouTuber Mark Rober to build a robot goalie that plays against Cristiano Ronaldo. He delves into the technical challenges of motion control and computer vision, the role of software engineers in industrial automation, and the importance of real-time systems. Jakob emphasizes the need for better software development practices in the industrial automation sector and shares insights on how aspiring engineers can break into this field.

Chapters

00:00 Introduction to the YouTube Collaboration Project

03:22 Challenges in Motion Control and Computer Vision06:29 Trial and Error in Robotics Development

09:15 Understanding Industrial Automation

12:05 Programming Languages in Industrial Automation

14:31 The Role of Real-Time Systems17:49 Constraints in Real-Time Programming

21:22 Understanding Hardware Constraints in Industrial Automation

24:46 The Role of PLCs in Industrial Control Systems

28:45 Challenges in Software Development Practices

35:32 Breaking into Industrial Automation Careers

Jakob's Links:

Website: www.sagatowski.com

PLC-programming course: https://www.youtube.com/playlist?list=PLimaF0nZKYHz3I3kFP4myaAYjmYk1SowO

Unit testing framework for Beckhoff PLC’s (the course talks about this), if you want to apply TDD in industrial automation:www.tcunit.orghttps://github.com/tcunit

John's Links:

John'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

Jakob collaborated with Mark Rober on a robot goalie project.

The project involved significant motion control and computer vision challenges.

Real-time systems require deterministic execution within strict time frames.

Industrial automation is evolving, integrating more software engineering practices.

Software engineers are increasingly needed in industrial automation roles.

The development environment in industrial automation is often proprietary and closed.

AI's impact on industrial automation is still developing, with challenges in integration.

Real-time programming constraints differ significantly from web development.

PLCs are essential for controlling industrial processes and machinery.

Aspiring engineers can learn about industrial automation through online resources and experimentation.

Coding Chats episode 63 - John Crickett and Rob Bowley discuss the evolving role of the CTO, emphasizing the importance of strategic leadership that integrates people, process, and technology. They explore the challenges and opportunities presented by AI and other technological trends, highlighting the need for adaptability and effective communication within leadership teams. The discussion also touches on the significance of assessing technology teams and strategies to ensure successful outcomes in software development and organizational growth.

Chapters

00:00 Introduction to the CTO Role

02:49 The Misconceptions of the CTO Position

05:05 The Importance of Feedback and Adaptability

11:50 Navigating AI and Emerging Technologies

19:08 Testing Hypotheses in Technology Implementation

22:19 The Transformative Potential of AI in Software Engineering

27:09 The Economic Impact of Generative AI

29:24 Concerns Over AI Subscription Costs

31:32 Adoption Challenges in Software Development

35:14 Assessing Technology and Team Effectiveness

38:44 The Future of Software Engineering and AI

50:12 Exploring Related Content

Rob's Links:

Blog: https://blog.robbowley.net/

LinkedIn: https://www.linkedin.com/in/robertbowley/

Bluesky: https://bsky.app/profile/robbowley.net

Company URL: https://www.pragmaticpartners.co.uk/

John's Links:

John'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

The role of a CTO is a strategic leadership position that intersects people, process, and technology.

CTOs should focus on understanding their strengths and how to leverage them within their organization.

Effective communication and collaboration with the senior leadership team are crucial for a CTO's success.

Many misconceptions about the CTO role stem from a focus on technical skills rather than strategic business outcomes.

Adaptability and awareness of one's strengths are key attributes of good leadership.

Feedback from peers and team members is essential for recognizing gaps in skills and performance.

Learning from failure is a critical aspect of leadership growth.

The integration of AI into products should be approached with caution and thorough exploration.

Organizations must focus on proven, common technologies rather than chasing every new trend.

The assessment of technology teams should prioritize people and their capabilities over just the technology itself.

Coding Chats episode 62 - John Crickett engages in a deep conversation with James about personal branding, building in public, and the challenges of launching a product. James shares his journey of using LinkedIn to build his personal brand, emphasizing the importance of transparency and community feedback in his projects. He recounts how his social network gained 20,000 users in the first 24 hours due to his public approach, which not only helped him secure jobs but also fostered a sense of community around his work.

The discussion also touches on the significance of mental health awareness and the need for open conversations in the workplace, particularly in the tech industry.As they delve into James's latest project, Bearly Fit, they explore the balance between creating a minimum viable product and ensuring quality. James reflects on the expectations that come with building in public and how he has navigated the challenges of app development while maintaining a connection with his audience. The conversation wraps up with insights on the role of AI in coding and the importance of mentoring junior developers, highlighting the need for a supportive environment in tech.

Chapters

00:00 The Power of Personal Branding

06:35 Agility in Development: Lessons Learned

18:29 Building in Public: Success and Challenges

26:08 Streaming and Job Search: A Double-Edged Sword

35:36 The Importance of Mentoring New Developers

40:22 Building in Public: The Journey of Barely Fit

52:58 Challenges and Expectations in App Development

58:54 Leveraging AI in Development

01:05:39 Final Thoughts and Future Plans

01:06:06 Exploring Related Content

James's Links:

https://linktr.ee/mahybe

https://bearly.fit

John's Links:

John'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

Building in public can lead to unexpected success.

Transparency in struggles fosters community support.

Personal branding is crucial for career advancement.

Quality matters in app development, especially when building in public.

Mentoring junior developers is an investment in the future.

Coding Chats episode 61 - John Crickett interviews Austen about his new book and the significance of behavioural interviews in the hiring process, especially in today's competitive job market. Austen shares insights on what interviewers look for, how to tailor preparation for specific companies, and the importance of storytelling in interviews. He emphasizes the impact of AI on the interview process and discusses how candidates can effectively present their experiences, particularly in conflict resolution scenarios. The conversation also covers the different expectations for candidates at various career stages and the importance of preparation and practice in mastering behavioural interviews.

Chapters

00:00 The Importance of Behavioral Interviews

02:43 What Interviewers Look For

05:32 Understanding Company Expectations

07:48 Austen's Background and Expertise

09:59 The Impact of AI on Interviews

12:10 Behavioral Interviews Beyond Big Tech

14:11 Crafting Your Introduction

18:55 Selecting Stories for Interviews

24:32 Creating Compelling Interview Stories

28:38 The Difference Between Junior and Senior Engineers

29:50 Crafting Compelling Stories for Interviews

31:28 Timing and Length of Stories in Interviews

33:34 Selecting the Right Story for the Interview

37:05 The Importance of Scope and Relevance in Storytelling

37:52 Using the Menu Technique for Story Selection

40:37 Enhancing Conflict Resolution Stories

43:48 The Drama in Conflict Resolution

48:12 Improving Conflict Resolution Narratives

55:00 The Role of Escalation in Conflict Resolution

58:11 The Big Three Questions in Behavioral Interviews

59:54 Understanding Interview Dynamics

01:03:08 The Importance of Asking Questions

01:06:56 Feedback Loops in Behavioral Interviews

01:12:04 Navigating Different Career Stages

01:17:52 Adapting Stories for Different Organizations

01:23:02 Leveraging Personal Projects in Interviews

01:24:41 Key Takeaways for Interview Success

Austen's Links:

https://thebehavioral.substack.com/

https://www.amazon.com/dp/B0G6CM9T87

John's Links:

John'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

Behavioral interviews are crucial for differentiating candidates in a competitive job market.

Understanding what interviewers are looking for can significantly improve your chances of success.

Tailoring your preparation to the specific company and role is essential.

Your past experiences and stories are likely more valuable than you think.

Practice and preparation are key to performing well in interviews.