Engineering Evolved
Where business meets innovation and technology drives transformation. Engineering Evolved is the podcast for leaders navigating the forgotten ground between startup chaos and enterprise bureaucracy. If you're building and scaling teams at organizations in the middle — where startup rules no longer apply and enterprise playbooks are far too large — this show is for you. Hosted by Tom Barber, each episode explores the real challenges facing today's engineering leaders: scaling systems without breaking them, building high-performing teams, aligning engineering strategy with business goals, and making technical decisions that drive measurable impact. Whether you're a Director of Engineering, VP of Technology, CTO, or a...
From Napkins to Agents: How AI Rewired Product Design
In this episode of Engineering Evolved, Tom sits down with Amelia Prasad, Director of Product at Concept to Cloud, to trace how AI has reshaped the day-to-day of UX and product design. Amelia — who came to product from astrophysics and climate science — walks through the shift from manual research, whiteboards and "back-of-the-napkin" sketches to building zero-to-one products directly in Claude Code.
It's not a hype reel. Amelia is candid about the friction: learning version control from scratch, bloated six-thousand-line files, the designer-to-developer handoff problem, and the diminishing returns of heavy token usage in tools like Claude Design and...
The $13K Company Backlog: Private Equity's Capital Return Crisis in 2025
Private equity firms are facing an unprecedented challenge with a backlog of 13,000 companies. The biggest issue for 2025 isn't raising capital or sourcing deals—it's successfully returning capital to investors after buying at market peaks.
Show Notes
Episode Overview
A concise analysis of the private equity industry's current crisis: managing a backlog of 13,000 companies while struggling to return capital to investors.
Key Topics Covered
The 13,000-Company Backlog
Unprecedented number of portfolio companies awaiting exits Industry-wide challenge affecting firms of all sizes Re...Your Users Don't Care If It's AI - They Just Want Results
Tom Barber challenges the AI hype cycle, arguing that users care about outcomes, not architecture. Learn why slapping an 'AI-powered' label on everything is the wrong approach, and discover how to thoughtfully integrate LLMs into products without falling into common pitfalls like dependency on unstable APIs or unnecessary chatbot interfaces.
Show Notes
Episode Overview
Tom Barber returns with a critical examination of AI integration in modern software development, challenging teams to focus on user outcomes rather than jumping on the AI hype train.
Key Topics Covered
The...
Integration Testing for Podcast Publishing: Best Practices & Automation
A technical deep dive into building robust end-to-end tests for podcast publishing pipelines. Learn why scheduled posts are essential for testing without disrupting your content feeds.
Episode Show Notes
Key Topics Covered
End-to-End Testing for Publishing Pipelines
Why comprehensive testing matters in content publishing Building reliable automation systems Preventing content delivery failuresScheduled Posts as Testing Tools
Using scheduled content for validation Avoiding feed pollution during testing Maintaining content quality standardsSynthetic Content in Test Environments
Best practices...The Trio Model: Breaking Down Business-IT Walls for Better Engineering Collaboration
Engineering leaders learn how the Trio model can eliminate the blame game between business and IT teams. Discover practical strategies for cross-functional collaboration that actually work.
The Trio Model: Breaking Down Business-IT Walls
Key Topics Covered
The Business-IT Dysfunction Problem
Why blame games develop between business and IT teamsThe 'technical purgatory' of mid-sized companies (200-1000 employees)Common symptoms: endless backlogs, shadow IT solutions, demoralized engineersWhy Traditional Fixes Fail
Hiring more managers: Adds abstraction without contextAdding more engineers: Brooks' Law in actionBetter ticketing systems: Makes misalignment visible but...Why Your Team Rituals Are Optimized for the Wrong Thing
How many meetings moved your team forward last week? Tom explores why most team rituals fail at building trust and alignment, sharing lessons from NASA JPL and startups on creating ceremonies that actually work.
Why Your Team Rituals Are Optimized for the Wrong Thing
Key Topics Covered
The Missing Middle Challenge
Why mid-sized companies (200-1000 employees) face unique coordination challengesToo big for startup osmosis, too small for enterprise playbooksThe need for distributed decision-making without dedicated alignment teamsTwo Contrasting Standup Experiences
NASA JPL: Nightly standups across three time...Why Kubernetes Is Probably Wrong for Your Mid-Sized Company
Engineering leader Tom Barber challenges the default adoption of Kubernetes, sharing why simpler alternatives often serve mid-sized companies better and how to make pragmatic infrastructure decisions.
Episode 12: Why Kubernetes Is Probably Wrong for Your Mid-Sized Company
Key Topics Covered
The Kubernetes Reality Check
Why most mid-sized companies don't need Kubernetes complexityThe hidden costs: maintenance, YAML management, and developer experienceReal-world example from NASA: when impressive engineering doesn't solve business problemsUnderstanding Kubernetes Context
Origins from Google's Borg system designed for massive scaleCore benefits: fault tolerance, auto-scaling, declarative infrastructureWhy these...You Don't Need Kubernetes: Right-Sizing Platform Engineering for Mid-Size Companies
In this episode of Engineering Evolved, Tom Barber discusses the pitfalls of over-engineering platform infrastructure, particularly for mid-sized companies. He shares insights from his experience at NASA's Jet Propulsion Laboratory, emphasizing the importance of right-sizing infrastructure to match team needs and capacity. The episode covers the build versus buy framework, the challenges of internal tooling, and the significance of documentation and automation in maintaining efficient operations.
Why Half Your Workforce Is Stuck Behind the Silicon Ceiling (And How to Fix It)
Boston Consulting Group's 2025 AI at Work report reveals a shocking gap: 78% of leaders use AI weekly, but frontline adoption is stuck at 51%. We break down the three critical failures creating this 'Silicon Ceiling' and provide actionable solutions.
Show Notes: The Silicon Ceiling Crisis
Key Statistics from BCG's 2025 AI at Work Report
Leadership adoption: 78% use AI several times weekly (up 14% from 2023) Frontline adoption: Stuck at 51% (down 1% from two years ago) Shadow AI risk: 54% of frontline employees will find unauthorized alternatives Training threshold: 79% adoption with 5+ hours training vs. 67% with less Leadership impact...Breaking the Silicon Ceiling: Why Half Your Workforce Can't Use AI
BCG's 2025 research reveals a shocking gap: 78% of leaders use AI weekly, but frontline adoption is stuck at 51%. Discover why this "Silicon Ceiling" is killing your productivity gains and what to do about it.
Breaking the Silicon Ceiling: The Hidden AI Adoption Crisis
Key Statistics from BCG's 2025 AI at Work Report
Leadership adoption: 78% use AI several times weekly (up 14 points from 2023) Frontline adoption: Stuck at 51% (down 1 point from 2023) Survey scope: 10,600+ companies across 11 countriesThe Silicon Ceiling Problem
Two companies under one roof: AI-enabled leaders vs. traditional workers ...Breaking the Silicon Ceiling: Why Half Your Workforce is Stalled on AI Adoption
BCG's 2025 AI at Work report reveals a shocking gap: 78% of leaders use AI weekly, but frontline adoption remains stuck at 51%. We break down why this 'Silicon Ceiling' is costing you productivity gains.
Breaking the Silicon Ceiling: The Hidden AI Adoption Crisis
Key Statistics from BCG's 2025 AI at Work Report
Leadership adoption: 78% of leaders and managers use generative AI several times weekly (up 14 points from 2023) Frontline stagnation: Only 51% adoption among frontline employees (down 1 point from two years ago) Shadow AI risk: 54% of employees will find unauthorized alternatives when not given proper...How to Sunset a Legacy System Without Destroying Team Morale
Summary
In this conversation, Tom Barber discusses the challenges organizations face when dealing with legacy systems and the importance of recognizing the human element in system migration. He emphasizes that migration is not just a technical project but a transition that impacts people's identities and roles within the organization.
Takeaways
The First 90 Days of Your Modernization Initiative
Summary
In this episode of Engineering Evolved, Tom Barber discusses the critical first 90 days of a modernization initiative for engineering directors. He emphasizes that success is not solely about technology but about understanding the business pain, building trust, and navigating organizational dynamics. The episode provides a week-by-week action plan, highlighting the importance of quick wins, effective communication, and avoiding common pitfalls in modernization efforts.
Takeaways
DevOps for the Skeptical VP: Building Your Business Case in 30 Minutes
Summary
In this conversation, Tom Barber discusses the challenges of managing feature requests and the importance of strategic deployment to enhance team efficiency. He emphasizes the need to prioritize time-consuming tasks to free up valuable hours for the team, ultimately leading to increased productivity without additional hiring costs.
Takeaways
Cloud Migration Without the Chaos - A Product Manager's Approach
Summary
In this episode of Engineering Evolved, Tom Barber discusses the critical aspects of cloud migration, emphasizing that many migrations fail due to poor planning and execution. He contrasts successful migrations, like Netflix's, with failures like TSB Bank's, highlighting the importance of treating migration as a product launch. Barber introduces the Strangler Fig pattern as a preferred migration strategy, outlines the six Rs of cloud migration, and stresses the need for effective communication and monitoring during the process. He also provides rollback strategies and discusses the importance of chaos engineering in ensuring resilience against outages. The episode...
The Three Types of Technical Debt Your Finance Team Actually Cares About
Summary
In this conversation, Tom Barber discusses the significant impact of technical debt on American companies, highlighting that it costs them $1.5 trillion annually. He emphasizes that many executives are unaware of this issue, which often remains hidden within organizations, particularly in engineering payroll. Barber explains how technical debt can lead to lost deals and increased risk exposure, likening it to a ticking time bomb that can have severe consequences when it detonates.
Takeaways
The Architecture Decision Framework - When You Actually Need Microservices (Spoiler: Probably Not Yet)
Summary
Most midsize companies are making terrible architecture decisions because they're copying Netflix instead of solving their actual problems. This episode cuts through the hype and gives you a practical framework for deciding when you need microservices, when you don't, and everything in between. We talk about why "microservices" is a terrible name that encourages bad decisions, the five factors that should actually drive your architecture choices, and the spectrum of options between monolith and distributed systems that nobody tells you about. Plus, specific signals that tell you when it's actually time to evolve.
...
Cross-Functional Teams vs. Feature Factories: What's Actually Different?
Episode Summary
Are your "cross-functional" teams actually just a feature factory in disguise? In this solo deep-dive, I break down the real differences between truly empowered teams and organizations that just reorganized the boxes on an org chart. You'll learn how to measure true cross-functionality, spot the warning signs you're still running a feature factory, and get concrete strategies to transform your teams.
What You'll Learn
The Real Definition of Feature Factory – It's not about org structure; it's about how decisions get made and what gets measured
Five Capabilities That De...
The Product Thinking Framework
Most engineering leaders would fail miserably as product managers. They'd get fired for shipping features nobody wants, ignoring user feedback, and measuring the wrong things. But here's the thing - your engineering team IS a product. And the techniques you use to build great products are exactly what you need to build a great engineering organization.
In this episode, I break down the Product Thinking Framework: a radically different approach to engineering leadership that will change how you think about your team forever.
In This Episode:
How I Accidentally Became A Modernization Director
Nobody wakes up wanting to be a modernization director. In this deeply personal episode, I share my journey from writing simple code at NASA JPL to leading complex system transformations at a fintech startup—and the expensive failures that taught me everything about modernization leadership.
You'll hear the story of two catastrophic failures: turning atmospheric science research code into a production web portal, and failures with month end reporting systems as a junior developer. They taught me lessons that no certification or consultant ever could.
If you've ever had a "works on my machine" moment tu...
Escaping Technical Purgatory
Why Mid-Sized Companies Are Stuck (And How to Break Free)
You've achieved product-market fit. You're generating real revenue. You have 200-1000 employees and a tech team of 20-150 engineers. You're not a startup anymore—but you're also not Google.
And you're stuck in hell.
The VP of Engineering reads all the right blogs, follows all the thought leaders, and decides to implement microservices like Netflix. Six months later, deployments take longer, bugs multiply, engineers threaten to quit, and leadership is asking why you just spent half a million dollars to make things worse.
...