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Stellar Work

Stellar Work

Benjamin Igna 58 Episodes Sep 7, 2026

Work is broken. Not in a LinkedIn-thought-leader way. In a "we spent 18 months on a transformation and nothing changed" way. Ben unpacks what actually moves the needle with practitioners, engineers, and leaders who've been through it. New episodes every two weeks.

Episodes

#65 Matt LeMay - The Low-Impact AI Death Spiral
#65 Matt LeMay - The Low-Impact AI Death Spiral Sep 7, 2026 00:39:28 Matt LeMay thought product teams had finally outgrown the feature factory. Then AI handed everyone a faster conveyor belt.Matt is a product consultant and author who has worked with Google, Spotify, and MailChimp. His book Impact-first Product Teams gave a name to what happens when teams optimize for safe, visible output: the Low-Impact Death Spiral. AI, he argues, is accelerating it.What you'
#64 Laura Tacho - You weren't measuring well before AI either
#64 Laura Tacho - You weren't measuring well before AI either Aug 24, 2026 00:26:44 AI did not break engineering metrics. It made it obvious that most companies never had any worth trusting.Laura Tacho spent 15 years building developer tools, ran DX as CTO, and now works on developer experience at AWS. She has seen the measurement data from hundreds of engineering organisations, which makes her a hard sell on the 10x productivity story.What you'll hear:The 17x jump in code vo
#63 Teresa Torres - Taste won't save your product
#63 Teresa Torres - Taste won't save your product Aug 10, 2026 00:38:52 Teresa Torres calls the "all you need is taste" narrative what it is: Silicon Valley elitism dressed up as product wisdom.Five years after Continuous Discovery Habits, Teresa has gone from product discovery coach to building AI products herself. In this conversation she explains why that transition happened, and why most teams get AI-assisted discovery wrong.What you'll hear:- Why a
#62 Barbara Lampl - There is no such thing as AI strategy
#62 Barbara Lampl - There is no such thing as AI strategy Jul 27, 2026 00:34:11 If your leadership is discussing which AI tool to buy, they are having the wrong discussion.Barbara Lampl has built and fixed data and AI strategies for over 20 years. Behavioral mathematician, known on LinkedIn as AI Babsi. Her diagnosis of failed AI adoption is blunt: organizations refuse to redesign their processes, and the knowledge that actually runs the business was never written down.What y
#61 Thomas Dohmke - Let the rebellion begin
#61 Thomas Dohmke - Let the rebellion begin Jul 13, 2026 00:44:27 Thomas Dohmke predicted AI would write 80% of code within five years. The number held. The timeline didn't. It took three.Thomas ran GitHub as CEO through the Copilot years. Now he's building Entire, a developer platform for the era where agents write the code. In this episode he explains why that platform can't be built on files and folders, and why it took a new company to build it.W
#60 Benjamin Igna - The substitutes for real work
#60 Benjamin Igna - The substitutes for real work Jun 8, 2026 00:42:40 Every industry has invented a substitute for the actualwork, and the best practitioners have quietly stopped using it. Sixty episodes in, Ben spends a solo episode tracing onepattern that showed up across 40-plus practitioners in five countries. The"sticker in the drawer" wears different clothes everywhere. Sometimesit's a sprint ceremony, sometimes an AI pilot with no measurable out
#59 Carsten Kraus - Industrial AI, keep the data in-house
#59 Carsten Kraus - Industrial AI, keep the data in-house May 25, 2026 00:48:00 Carsten Kraus's pitch for the German Mittelstand isn't to build foundation models. It's to keep the data in-house and let other people's models run on it.Kraus has founded 12 companies and is opening the 13th. He sold a programming language to Atari at 17, built FactFinder (similarity search two years before Google's "Did you mean"), and Casablanca.ai, a face foundation model that hit 88% AUC on s
The Psychology of AI-Driven UX
The Psychology of AI-Driven UX May 11, 2026 00:43:53 AI tools increase time-on-task by 20 to 40%. That's not a bug report, that's a UX research finding.Sophie is a UX Researcher at Citigroup with a background in Chemical Engineering. She has built and scaled research practices in both start-ups and large organisations, embedding human-centred ways of working that drive real business impact. At the crossroads of design, technology and strateg
Engineering Management In The Age Of AI
Engineering Management In The Age Of AI Apr 27, 2026 00:42:50 Most engineering teams using AI are about 2x faster. Not 10x. The bottleneck moved, but nobody optimized the rest.Jeff Lee-Chan spent 10 years at Google working on YouTube, then seven years at Snapchat. He went from IC to staff engineer to engineering manager. Now he spends 20 to 30 extra hours a week experimenting with AI tools outside his day job.In this conversation, you'll hear:Why a 30-mi
#56 Derek Borthwick On The Psychology of Selling
#56 Derek Borthwick On The Psychology of Selling Apr 13, 2026 00:56:12 SummaryIn this episode, Ben sits down with Derek Borthwick — sales expert, bestselling author, and founder of Power2Mind — to talk about what actually makes people buy. Spoiler: it's not your pitch deck.Derek dismantles the classic "sales playbook" approach and explains why scripts, product dumps, and logical arguments consistently fail to persuade. Drawing from neuroscience, NLP, an
#55 Allen Holub About The Evolution Of Agility And Its AI Future
#55 Allen Holub About The Evolution Of Agility And Its AI Future Mar 30, 2026 00:43:51 SummaryAgility was supposed to change everything. And it did — just not always in the way we hoped. In this episode, Ben sits down with Allen Holub to talk about how agile methodology shaped the software industry, where it went off the rails, and why AI might be repeating the same mistakes. From the original promise of the Agile Manifesto to the certification industrial complex, and from developer
#54 Matas Rastenis On Augmenting Engineers At Uber
#54 Matas Rastenis On Augmenting Engineers At Uber Mar 19, 2026 00:35:09 SummaryIn this episode, Ben talks with Matas Rastenis, Senior Staff Engineer at Uber's Developer Platforms team, about what it actually looks like to bring AI tools to one of the world's largest engineering organizations  not as a flashy demo, but as production-grade infrastructure that delivers measurable impact. Matas shares how Uber approaches AI augmentation for its engineers: evaluati

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