Short clips from Leanpub's videos.
These are short clips from our Leanpub videos — our Launch videos, Podcast videos, and more from our YouTube channel.
Modernizing Legacy Software with AI by Nils Boeffel
Close the gap between "AI that generates code" and "AI-assisted development for production software" with this complete, proven playbook including the six-phase arc from audit to production.
Modernizing Legacy Software with AI by Nils Boeffel
Close the gap between "AI that generates code" and "AI-assisted development for production software" with this complete, proven playbook including the six-phase arc from audit to production.
Modernizing Legacy Software with AI by Nils Boeffel
Close the gap between "AI that generates code" and "AI-assisted development for production software" with this complete, proven playbook including the six-phase arc from audit to production.
Modernizing Legacy Software with AI by Nils Boeffel
Close the gap between "AI that generates code" and "AI-assisted development for production software" with this complete, proven playbook including the six-phase arc from audit to production.
Someone Else's Debt by Yolonda Smith
Cyber risk in M&A gets treated as a compliance check, a heat-map of red and yellow boxes, or a problem to deal with after close. By then it is too late.Quantitative Cyber Diligence (QCD) replaces qualitative cyber diligence with a five-pillar framework that produces a single dollar-denominated figure the investment committee can argue about — calibrated, defensible, and reproducible. Each pillar maps to a measurable exposure: external attack surface, vendor concentration, data sensitivity, security program maturity, and integration risk. The framework aggregates per-pillar exposures with explicit correlation discount, surfaces tail-driver scenarios that conventional analysis misses, and translates the aggregate figure into deal-architecture recommendations: reps and warranties, escrow, price adjustment, or walk-away.This book documents how QCD engagements actually run. Two worked examples (healthcare-IT and industrial-IT). Practitioner templates. Per-pillar pseudocode. Industry loss benchmarks. The complete framework, calibrated to the post-Change-Healthcare era.
Someone Else's Debt by Yolonda Smith
Cyber risk in M&A gets treated as a compliance check, a heat-map of red and yellow boxes, or a problem to deal with after close. By then it is too late.Quantitative Cyber Diligence (QCD) replaces qualitative cyber diligence with a five-pillar framework that produces a single dollar-denominated figure the investment committee can argue about — calibrated, defensible, and reproducible. Each pillar maps to a measurable exposure: external attack surface, vendor concentration, data sensitivity, security program maturity, and integration risk. The framework aggregates per-pillar exposures with explicit correlation discount, surfaces tail-driver scenarios that conventional analysis misses, and translates the aggregate figure into deal-architecture recommendations: reps and warranties, escrow, price adjustment, or walk-away.This book documents how QCD engagements actually run. Two worked examples (healthcare-IT and industrial-IT). Practitioner templates. Per-pillar pseudocode. Industry loss benchmarks. The complete framework, calibrated to the post-Change-Healthcare era.
Someone Else's Debt by Yolonda Smith
Cyber risk in M&A gets treated as a compliance check, a heat-map of red and yellow boxes, or a problem to deal with after close. By then it is too late.Quantitative Cyber Diligence (QCD) replaces qualitative cyber diligence with a five-pillar framework that produces a single dollar-denominated figure the investment committee can argue about — calibrated, defensible, and reproducible. Each pillar maps to a measurable exposure: external attack surface, vendor concentration, data sensitivity, security program maturity, and integration risk. The framework aggregates per-pillar exposures with explicit correlation discount, surfaces tail-driver scenarios that conventional analysis misses, and translates the aggregate figure into deal-architecture recommendations: reps and warranties, escrow, price adjustment, or walk-away.This book documents how QCD engagements actually run. Two worked examples (healthcare-IT and industrial-IT). Practitioner templates. Per-pillar pseudocode. Industry loss benchmarks. The complete framework, calibrated to the post-Change-Healthcare era.
Someone Else's Debt by Yolonda Smith
Cyber risk in M&A gets treated as a compliance check, a heat-map of red and yellow boxes, or a problem to deal with after close. By then it is too late.Quantitative Cyber Diligence (QCD) replaces qualitative cyber diligence with a five-pillar framework that produces a single dollar-denominated figure the investment committee can argue about — calibrated, defensible, and reproducible. Each pillar maps to a measurable exposure: external attack surface, vendor concentration, data sensitivity, security program maturity, and integration risk. The framework aggregates per-pillar exposures with explicit correlation discount, surfaces tail-driver scenarios that conventional analysis misses, and translates the aggregate figure into deal-architecture recommendations: reps and warranties, escrow, price adjustment, or walk-away.This book documents how QCD engagements actually run. Two worked examples (healthcare-IT and industrial-IT). Practitioner templates. Per-pillar pseudocode. Industry loss benchmarks. The complete framework, calibrated to the post-Change-Healthcare era.
Someone Else's Debt by Yolonda Smith
Cyber risk in M&A gets treated as a compliance check, a heat-map of red and yellow boxes, or a problem to deal with after close. By then it is too late.Quantitative Cyber Diligence (QCD) replaces qualitative cyber diligence with a five-pillar framework that produces a single dollar-denominated figure the investment committee can argue about — calibrated, defensible, and reproducible. Each pillar maps to a measurable exposure: external attack surface, vendor concentration, data sensitivity, security program maturity, and integration risk. The framework aggregates per-pillar exposures with explicit correlation discount, surfaces tail-driver scenarios that conventional analysis misses, and translates the aggregate figure into deal-architecture recommendations: reps and warranties, escrow, price adjustment, or walk-away.This book documents how QCD engagements actually run. Two worked examples (healthcare-IT and industrial-IT). Practitioner templates. Per-pillar pseudocode. Industry loss benchmarks. The complete framework, calibrated to the post-Change-Healthcare era.
First Principles in Scrum: OpenClaw Scrum and Scrum@Scale by Jeff Sutherland
Fifty RF‑101 Voodoos arrived in Vietnam. Forty‑seven were shot down in a year. The pilots who survived didn't fly faster aircraft — they cycled through the OODA loop faster than the missiles chasing them. Jeff Sutherland was one of them. He went on to co‑create Scrum. Now, six decades later, he is running AI agents through daily sprints at machine speed — and this book is the playbook for how to do it without getting shot down.
First Principles in Scrum: OpenClaw Scrum and Scrum@Scale by Jeff Sutherland
Fifty RF‑101 Voodoos arrived in Vietnam. Forty‑seven were shot down in a year. The pilots who survived didn't fly faster aircraft — they cycled through the OODA loop faster than the missiles chasing them. Jeff Sutherland was one of them. He went on to co‑create Scrum. Now, six decades later, he is running AI agents through daily sprints at machine speed — and this book is the playbook for how to do it without getting shot down.
First Principles in Scrum: OpenClaw Scrum and Scrum@Scale by Jeff Sutherland
Fifty RF‑101 Voodoos arrived in Vietnam. Forty‑seven were shot down in a year. The pilots who survived didn't fly faster aircraft — they cycled through the OODA loop faster than the missiles chasing them. Jeff Sutherland was one of them. He went on to co‑create Scrum. Now, six decades later, he is running AI agents through daily sprints at machine speed — and this book is the playbook for how to do it without getting shot down.
First Principles in Scrum: OpenClaw Scrum and Scrum@Scale by Jeff Sutherland
Fifty RF‑101 Voodoos arrived in Vietnam. Forty‑seven were shot down in a year. The pilots who survived didn't fly faster aircraft — they cycled through the OODA loop faster than the missiles chasing them. Jeff Sutherland was one of them. He went on to co‑create Scrum. Now, six decades later, he is running AI agents through daily sprints at machine speed — and this book is the playbook for how to do it without getting shot down.
First Principles in Scrum: OpenClaw Scrum and Scrum@Scale by Jeff Sutherland
Fifty RF‑101 Voodoos arrived in Vietnam. Forty‑seven were shot down in a year. The pilots who survived didn't fly faster aircraft — they cycled through the OODA loop faster than the missiles chasing them. Jeff Sutherland was one of them. He went on to co‑create Scrum. Now, six decades later, he is running AI agents through daily sprints at machine speed — and this book is the playbook for how to do it without getting shot down.
My Adventures with Large Language Models by Prathamesh S.
Build GPT-2, Llama 3, and DeepSeek from scratch in PyTorch. Every chapter has runnable end-to-end code and loads real pretrained weights. Goes well past where most LLM tutorials stop.
My Adventures with Large Language Models by Prathamesh S.
Build GPT-2, Llama 3, and DeepSeek from scratch in PyTorch. Every chapter has runnable end-to-end code and loads real pretrained weights. Goes well past where most LLM tutorials stop.
My Adventures with Large Language Models by Prathamesh S.
Build GPT-2, Llama 3, and DeepSeek from scratch in PyTorch. Every chapter has runnable end-to-end code and loads real pretrained weights. Goes well past where most LLM tutorials stop.
My Adventures with Large Language Models by Prathamesh S.
Build GPT-2, Llama 3, and DeepSeek from scratch in PyTorch. Every chapter has runnable end-to-end code and loads real pretrained weights. Goes well past where most LLM tutorials stop.
My Adventures with Large Language Models by Prathamesh S.
Build GPT-2, Llama 3, and DeepSeek from scratch in PyTorch. Every chapter has runnable end-to-end code and loads real pretrained weights. Goes well past where most LLM tutorials stop.
The Unwritten Job Description by Serena Martino
Most career advice tells you to want more, move faster, or start over. This book does something harder and more useful. It helps you figure out what you actually want, and gives you the tools to build it, without burning down what you have already made.
The Unwritten Job Description by Serena Martino
Most career advice tells you to want more, move faster, or start over. This book does something harder and more useful. It helps you figure out what you actually want, and gives you the tools to build it, without burning down what you have already made.
The Unwritten Job Description by Serena Martino
Most career advice tells you to want more, move faster, or start over. This book does something harder and more useful. It helps you figure out what you actually want, and gives you the tools to build it, without burning down what you have already made.
The Unwritten Job Description by Serena Martino
Most career advice tells you to want more, move faster, or start over. This book does something harder and more useful. It helps you figure out what you actually want, and gives you the tools to build it, without burning down what you have already made.
The Unwritten Job Description by Serena Martino
Most career advice tells you to want more, move faster, or start over. This book does something harder and more useful. It helps you figure out what you actually want, and gives you the tools to build it, without burning down what you have already made.
Ten Habits of Great Data Analysts by Danielle Boyce, MPH, DPA
Great data analysts are not defined by the software they use. They are defined by how they think about data.
Ten Habits of Great Data Analysts by Danielle Boyce, MPH, DPA
Great data analysts are not defined by the software they use. They are defined by how they think about data.
Ten Habits of Great Data Analysts by Danielle Boyce, MPH, DPA
Great data analysts are not defined by the software they use. They are defined by how they think about data.
Ten Habits of Great Data Analysts by Danielle Boyce, MPH, DPA
Great data analysts are not defined by the software they use. They are defined by how they think about data.
Ten Habits of Great Data Analysts by Danielle Boyce, MPH, DPA
Great data analysts are not defined by the software they use. They are defined by how they think about data.
Ten Habits of Great Data Analysts by Danielle Boyce, MPH, DPA
Great data analysts are not defined by the software they use. They are defined by how they think about data.