Tech Leadership Deep Dives

From a small team with frontend backend, to a growing organization with fullstack teams, staff engineers and end to end responsibility.Shaping your tech department the right way - at the right time - is crucial for business success.Let's explore!# References## Books### Accelerate: The Science of Lean Software and DevOps- **Authors:** Nicole Forsgren, Jez Humble, and Gene Kim- **Website:** [IT Revolution — Accelerate](https://itrevolution.com/product/accelerate/)## Concepts### DORA Metrics (Lead Time, Deployment Frequency, Change Failure Rate, Mean Time to Restore)- **Originators:** Nicole Forsgren, Jez Humble, Gene Kim and the DORA (DevOps Research and Assessment) team — now part of Google Cloud- **Website:** [dora.dev](https://dora.dev/)### Architecture Decision Records (ADRs)- **Website:** [Architectural decision - Wikipedia)](https://en.wikipedia.org/wiki/Architectural_decision)### Technical Debt Quadrant (Deliberate/Inadvertent × Prudent/Reckless)- **Originator:** Martin Fowler (2009)- **Website:** [Martin Fowler — Technical Debt Quadrant](https://martinfowler.com/bliki/TechnicalDebtQuadrant.html)

In this episode of the Tech Leadership Deep Dive, your hosts -Marco and Raphael - dig into what “tech debt” really looks like in the real world, why it quietly builds up, and how it can eventually slow (or even sink) a company if it’s not actively managed.A few highlights that stood out:➡️ Tech debt shows up as “we’re suddenly slow”: shipping goes from multiple deploys/day → weekly → monthly, QA cycles get painful, and every change feels risky.➡️ It impacts hiring: strong engineers don’t get excited about joining teams stuck on outdated frameworks and brittle systems.➡️ It increases security risk: old dependencies and unpatched runtimes expand your attack surface - often until something breaks publicly.➡️ Upgrades become projects: the longer you delay maintenance (framework versions, libraries, architecture decisions), the more expensive and disruptive it becomes later.➡️ Good management makes it visible: using DORA/Accelerate-style metrics (lead time, deploy frequency, etc.), tracking shortcuts via architecture decision records, and labeling work in Jira helps quantify where time goes (new product vs. “keeping the lights on”).➡️ The key is communication: tech leaders need to translate “tech debt” into business language (risk, speed, cost, capability), not just engineering jargon-and negotiate tradeoffs explicitly when shortcuts are necessary.The core message: some tech debt is inevitable, but unmanaged tech debt compounds-like interest-and eventually limits speed, safety, and talent.# References## Books### Accelerate: The Science of Lean Software and DevOps- **Authors:** Nicole Forsgren, Jez Humble, and Gene Kim- **Website:** [IT Revolution — Accelerate](https://itrevolution.com/product/accelerate/)## Concepts### DORA Metrics (Lead Time, Deployment Frequency, Change Failure Rate, Mean Time to Restore)- **Originators:** Nicole Forsgren, Jez Humble, Gene Kim and the DORA (DevOps Research and Assessment) team — now part of Google Cloud- **Website:** [dora.dev](https://dora.dev/)### Architecture Decision Records (ADRs)- **Website:** [Architectural decision - Wikipedia)](https://en.wikipedia.org/wiki/Architectural_decision)### Technical Debt Quadrant (Deliberate/Inadvertent × Prudent/Reckless)- **Originator:** Martin Fowler (2009)- **Website:** [Martin Fowler — Technical Debt Quadrant](https://martinfowler.com/bliki/TechnicalDebtQuadrant.html)

In this first episode, we unpack “Leadership Levels” in software engineering:➡️ How responsibilities shift from IC → Team Lead/EM → Director/Head → VP/CTO➡️ Why “leaders who still code too much” can become bottlenecks (even with the best intentions)➡️ How to set clear expectations with career frameworks (and why that changes everything)➡️ Promotions without the Peter Principle: acting roles, de-risking, and coaching people into success➡️ Why strong IC career paths matter just as much as management tracksIf you’re building or scaling an engineering org - or you’re a new (or seasoned) leader - this one’s for you.# References## Books### The Leadership Pipeline: How to Build the Leadership-Powered Company- **Authors:** Ram Charan, Stephen Drotter, James Noel- **Website:** [Leadership Pipeline Institute](https://leadershippipelineinstitute.com/)### Inspired: How to Create Tech Products Customers Love- **Author:** Marty Cagan- **Website:** [SVPG — Inspired](https://www.svpg.com/books/inspired-how-to-create-tech-products-customers-love-2nd-edition/)### The No Asshole Rule: Building a Civilized Workplace and Surviving One That Isn't- **Author:** Robert I. Sutton- **Website:** [Bob Sutton — The No Asshole Rule](https://bobsutton.net/book/no-asshole-rule/)### How Google Works- **Authors:** Eric Schmidt and Jonathan Rosenberg (with Alan Eagle)- **Link:** [How Google Works — Wikipedia](https://en.wikipedia.org/wiki/How_Google_Works)### The Peter Principle: Why Things Always Go Wrong- **Authors:** Laurence J. Peter and Raymond Hull- **Link:** [The Peter Principle — Wikipedia](https://en.wikipedia.org/wiki/Peter_principle)## Concepts### Conway's Law- **Originator:** Melvin E. Conway (1967/1968 paper "How Do Committees Invent?")- **Website:** [Mel Conway — Conway's Law](https://www.melconway.com/Home/Conways_Law.html)### Dunning-Kruger Effect- **Originators:** David Dunning and Justin Kruger (1999 paper "Unskilled and Unaware of It")- **Link:** [Dunning–Kruger effect — Wikipedia](https://en.wikipedia.org/wiki/Dunning%E2%80%93Kruger_effect)### Imposter (Impostor) Phenomenon / Syndrome- **Originators:** Pauline R. Clance and Suzanne A. Imes (1978 paper "The Impostor Phenomenon in High Achieving Women")- **Website:** [Dr. Pauline Rose Clance — Impostor Phenomenon](https://paulineroseclance.com/impostor_phenomenon.html)