
Advertise on podcast: Never Rewrite: Software Engineering & AI Coding
Rating
5from
Categories
This podcast has
177 episodes
Language
EnglishPublisher
Isaac Askew and Jeffrey ShermanExplicit
No
Date created
2023/03/16
Latest episode
2026/10/16
Average duration
23 min.
Release period
8 days
Description
‘Never Rewrite’ is a mantra of ours in the programming realm. Often times when software developers encounter nightmare codebases, the thought crosses their mind to work towards a rewrite, a port to a new language, or despair that their code is unfixable. It’s not unfixable, and we explore how to get started along with an array of other software topics in our eponymous podcast.
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Podcast episodes
Check latest episodes from Never Rewrite: Software Engineering & AI Coding podcast
The SaaSpocalypse Is Here (Ep. 177)
2026/10/16
In this episode, Isaac Askew and Jeffrey Sherman explore the future of SaaS development, reverse engineering software, and the implications of open source AI tools for software creation and business models.
Revisiting 'Out of the Crisis' (Ep. 176)
2026/10/09
Isaac and Jeffrey revisit 'Out of the Crisis' by W. Edwards Deming and why the book still holds up today.
Show notes:
Out of the Crisis: W. Edwards Deming: https://mitpress.mit.edu/9780262541152/out-of-the-crisis/
Revisiting 'The Goal: A Process of Ongoing Improvement' (Ep. 175)
2026/10/02
Jeffrey Sherman and Isaac Askew explore the timeless principles of the book 'The Goal' by Eliyahu Goldratt, focusing on the theory of constraints and its relevance to modern software development and AI workflows. They discuss how identifying and optimizing bottlenecks can dramatically improve system efficiency and adapt to changing constraints.
Show notes:
The Goal: https://en.wikipedia.org/wiki/The_Goal_(novel)
The Phoenix Project: https://itrevolution.com/product/the-phoenix-project/
The Rise of Personal AI Assistants (Ep. 174)
2026/09/25
In this episode, Isaac Askew and Jeffrey Sherman explore the rapid rise of personal assistant AI like Muse, its implications for privacy, security, and the future of online shopping and productivity. They discuss how AI is transforming trust, automation, and the way companies must adapt to stay relevant.
How My Workflow Is Impacted by AI (Ep. 173)
2026/09/18
In this episode, Isaac Askew and Jeffrey Sherman explore how AI impacts productivity, workflow, and creativity in software development. They discuss real-world experiences with AI tools, challenges faced, and the evolving nature of AI-human collaboration.
AI-Monitored Release Processes: A Log Anomaly Checker (Ep. 172)
2026/09/11
In this episode, Jeffrey Sherman and Isaac Askew explore how AI can monitor release processes by analyzing error logs, detecting anomalies, and improving deployment confidence. They discuss practical tools, strategies, and the potential for automation in system monitoring.
Using AI to Complete a Half-Finished Rewrite, Part 2 (Ep. 171)
2026/09/04
Jeffrey Sherman shares his experience using AI to accelerate a 10-year API rewrite, highlighting practical strategies, challenges, and insights into modern development practices.
Co-host: Isaac Askew
Guests: Dustin Rea
Refactoring: What Changes (And Doesn't) in the Age of AI ft. Ravi Ram (Ep. 170)
2026/08/28
Today we're joined by Ravi Ram, a kindred refactoring spirit. Ravi joins us today to discuss his approach to refactoring and how he leverages AI effectively to dramatically reduce the time it takes to implement refactors and fixes for his clients.
Ravi Ram | [email protected]
https://www.linkedin.com/in/dhali/
-------------------------------------
Dhali
30211 Avenida de las Bandera, STE 200
Rancho Santa Margarita, CA 92688
References:
Practical Refactoring
Woody Zuill | Llewellyn Falco
https://www.youtube.com/watch?v=aWiwDdx_rdo
Sandi Metz' Rules For Developers
https://thoughtbot.com/blog/sandi-metz-rules-for-developers
(Book) Tidy First: A Personal Exercise in Empirical Software Design
Kent Beck
Using AI to Complete a Half-Finished Rewrite (Ep. 169)
2026/08/21
Jeffrey Sherman discusses using AI to complete a decade-long API rewrite, focusing on strategies for parity, documentation, testing, and migration. This episode offers insights into managing legacy systems and leveraging AI for efficient software development.
Are AI-Driven Pull Requests Too Large? (Ep. 168)
2026/08/14
This episode explores the evolving practices of code review in the age of AI, focusing on the size of pull requests, the role of human oversight, and how AI tools like Claude are transforming development workflows.
Features Jeffrey Sherman, Isaac Askew, and Dustin Rea.
AI & WIP Fundamentals (Ep. 167)
2026/08/07
In this episode, Jeffrey Sherman shares insights on how AI can optimize legacy code testing, improve build times, and address the challenges of organic codebases. Discover practical strategies and the importance of conventions in maintaining reliable tests.
Solutioning in the Age of AI (Ep. 166)
2026/07/31
Isaac & Jeffrey discuss how delivering incredibly literal acceptance criteria ('solutioning') changes when the engineering work pivots to the AI agent rather than a human engineer.
AI & The Age of Transient Apps (Ep. 165)
2026/07/24
Isaac and Jeffrey explore the concept of transient software, sharing insights on building personalized tools with AI, cost-effective infrastructure, and the future of software development. They discuss real-world examples, including a band management app, and the implications of AI-driven, ephemeral solutions.
AI Horror Stories (Ep. 164)
2026/07/17
In this episode, Isaac Askew and Dustin Rea share real-world AI security stories, highlighting the importance of security best practices when deploying autonomous agents. From data leakage to infrastructure risks, learn how to protect your systems in an AI-driven world.
Can AI Tell You What Your Goals Are? (Ep. 163)
2026/07/10
In this episode, Isaac Askew, Jeffrey Sherman and Dustin Rea explore the challenges and opportunities of using AI in software development, focusing on goal clarity, requirements, feature coherence, and security. They discuss how to harness AI effectively while avoiding common pitfalls like feature bloat and misaligned objectives.
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