Jul 15, 2026 · 49m · allin

Former Intel CEO on What Went Wrong, What's Next + Lovable CEO on the Real Promise of Vibe Coding

Jason Calacanis · 16m spoken Pat Gelsinger · 15m spoken Anton Osika · 12m spoken
0:00 / 0:00
▶ Watch on YouTube →

gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions

This episode of The All-In Interview features host Jason Calacanis interviewing former Intel CEO Pat Gelsinger on Intel's historic strategic mistakes and chip manufacturing future, followed by Lovable CEO Anton Osika on the explosive growth of AI-driven software creation and enterprise SaaS disruption.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. The hosts hold 37.6% of the talking time here. How this is scored →

The hosts as informed peer 5.6 Guest teaching 5.8 Guest disagreement 1.6 The hosts pushing back 2.4
05100:0015:0030:0045:001:39–5:17 · The hosts as informed peer 5/10 Intel's Cultural Shift: Technical versus Financial Leadership Jason demonstrates good tech history context by referencing bean counters, stock buybacks, and missed product opportunities like iPhone chips. Pat explains how Intel transitioned from technical PhD leadership under Grove and Moore to financial managers who prioritized capital return over long-term tech investment.5:17–7:57 · The hosts as informed peer 4/10 Apple's Transition to Custom Silicon and Steve Jobs' Vision Jason prompts Pat about Steve Jobs initiating Apple's internal silicon project around 2008. Pat educates the host with an insider story revealing that Jobs had quietly ported macOS across four releases before informing Intel.7:57–14:12 · The hosts as informed peer 6/10 Nvidia's GPU Revolution and TSMC's Foundry Dominance Jason quotes William Gibson regarding tech adoption and highlights Nvidia's convergence with crypto and AI. Pat outlines Jensen Huang's persistent building of CUDA and explains how TSMC's pure-play foundry model outpaced Intel's integrated model.14:12–17:29 · The hosts as informed peer 6/10 The CHIPS Act, Supply Chain Resilience, and Geopolitical Risks Jason presses on geopolitical timeline risks surrounding a potential blockade of Taiwan and US CHIPS Act domestic capabilities. Pat schools the room by revealing Taiwan holds under three weeks of energy reserves, making a simple blockade catastrophic.17:29–22:42 · The hosts as informed peer 7/10 AI Infrastructure Buildout, Token Economics, and Market Realities Jason challenges the AI infrastructure buildout as a potential bubble, citing Jevons paradox and naming specialized hardware startups like Cerebras and Groq. Pat reframes the bubble concern by pointing out that global power grid limitations act as a natural governor on overbuilding.22:42–24:58 · The hosts as informed peer 5/10 The Timeline and Industry Impact of Quantum Computing Jason openly challenges the quantum computing narrative, noting it has been perpetually 'five years away' for decades. Pat firmly rejects the skepticism, asserting quantum supremacy will yield commercial utility before 2030.24:58–27:08 · The hosts as informed peer 4/10 Introducing Anton Osika and Lovable's Explosive Growth Jason introduces Anton Osika and praises Lovable's product focus on enabling non-developers to build software. Anton provides concrete metrics on platform usage, including project volume and web traffic growth.27:08–37:20 · The hosts as informed peer 7/10 Vibe Coding Evolution, Enterprise Adoption, and Internal Software Jason provides an extensive operational breakdown of how his team replaced a $500k software development quote with a 4-hour Lovable build for under $2,000. Anton explains how enterprise guardrails, automated security scanning, and backend hosting enable production-ready software.37:20–43:47 · The hosts as informed peer 6/10 Replacing Legacy SaaS with Bespoke AI Software and Open-Weight Models Jason probes whether bespoke AI apps will dismantle standard SaaS tools like Slack and Salesforce. Anton provides a real-world case study where a customer replaced ten internal tools to save over $1M annually, and details post-training fine-tuning on failure modes.43:47–49:23 · The hosts as informed peer 6/10 Token Consumption, Internal Co-opetition, and Interview Conclusion Jason asks about internal organizational conflicts when separate teams build competing custom apps for the same problem. Anton draws an analogy to particle physics research at CERN to advocate for internal co-opetition and rapid parallel experimentation.1:39–5:17 · Guest teaching 5/10 Intel's Cultural Shift: Technical versus Financial Leadership Jason demonstrates good tech history context by referencing bean counters, stock buybacks, and missed product opportunities like iPhone chips. Pat explains how Intel transitioned from technical PhD leadership under Grove and Moore to financial managers who prioritized capital return over long-term tech investment.5:17–7:57 · Guest teaching 6/10 Apple's Transition to Custom Silicon and Steve Jobs' Vision Jason prompts Pat about Steve Jobs initiating Apple's internal silicon project around 2008. Pat educates the host with an insider story revealing that Jobs had quietly ported macOS across four releases before informing Intel.7:57–14:12 · Guest teaching 7/10 Nvidia's GPU Revolution and TSMC's Foundry Dominance Jason quotes William Gibson regarding tech adoption and highlights Nvidia's convergence with crypto and AI. Pat outlines Jensen Huang's persistent building of CUDA and explains how TSMC's pure-play foundry model outpaced Intel's integrated model.14:12–17:29 · Guest teaching 7/10 The CHIPS Act, Supply Chain Resilience, and Geopolitical Risks Jason presses on geopolitical timeline risks surrounding a potential blockade of Taiwan and US CHIPS Act domestic capabilities. Pat schools the room by revealing Taiwan holds under three weeks of energy reserves, making a simple blockade catastrophic.17:29–22:42 · Guest teaching 6/10 AI Infrastructure Buildout, Token Economics, and Market Realities Jason challenges the AI infrastructure buildout as a potential bubble, citing Jevons paradox and naming specialized hardware startups like Cerebras and Groq. Pat reframes the bubble concern by pointing out that global power grid limitations act as a natural governor on overbuilding.22:42–24:58 · Guest teaching 6/10 The Timeline and Industry Impact of Quantum Computing Jason openly challenges the quantum computing narrative, noting it has been perpetually 'five years away' for decades. Pat firmly rejects the skepticism, asserting quantum supremacy will yield commercial utility before 2030.24:58–27:08 · Guest teaching 4/10 Introducing Anton Osika and Lovable's Explosive Growth Jason introduces Anton Osika and praises Lovable's product focus on enabling non-developers to build software. Anton provides concrete metrics on platform usage, including project volume and web traffic growth.27:08–37:20 · Guest teaching 5/10 Vibe Coding Evolution, Enterprise Adoption, and Internal Software Jason provides an extensive operational breakdown of how his team replaced a $500k software development quote with a 4-hour Lovable build for under $2,000. Anton explains how enterprise guardrails, automated security scanning, and backend hosting enable production-ready software.37:20–43:47 · Guest teaching 6/10 Replacing Legacy SaaS with Bespoke AI Software and Open-Weight Models Jason probes whether bespoke AI apps will dismantle standard SaaS tools like Slack and Salesforce. Anton provides a real-world case study where a customer replaced ten internal tools to save over $1M annually, and details post-training fine-tuning on failure modes.43:47–49:23 · Guest teaching 6/10 Token Consumption, Internal Co-opetition, and Interview Conclusion Jason asks about internal organizational conflicts when separate teams build competing custom apps for the same problem. Anton draws an analogy to particle physics research at CERN to advocate for internal co-opetition and rapid parallel experimentation.1:39–5:17 · Guest disagreement 1/10 Intel's Cultural Shift: Technical versus Financial Leadership Jason demonstrates good tech history context by referencing bean counters, stock buybacks, and missed product opportunities like iPhone chips. Pat explains how Intel transitioned from technical PhD leadership under Grove and Moore to financial managers who prioritized capital return over long-term tech investment.5:17–7:57 · Guest disagreement 1/10 Apple's Transition to Custom Silicon and Steve Jobs' Vision Jason prompts Pat about Steve Jobs initiating Apple's internal silicon project around 2008. Pat educates the host with an insider story revealing that Jobs had quietly ported macOS across four releases before informing Intel.7:57–14:12 · Guest disagreement 1/10 Nvidia's GPU Revolution and TSMC's Foundry Dominance Jason quotes William Gibson regarding tech adoption and highlights Nvidia's convergence with crypto and AI. Pat outlines Jensen Huang's persistent building of CUDA and explains how TSMC's pure-play foundry model outpaced Intel's integrated model.14:12–17:29 · Guest disagreement 2/10 The CHIPS Act, Supply Chain Resilience, and Geopolitical Risks Jason presses on geopolitical timeline risks surrounding a potential blockade of Taiwan and US CHIPS Act domestic capabilities. Pat schools the room by revealing Taiwan holds under three weeks of energy reserves, making a simple blockade catastrophic.17:29–22:42 · Guest disagreement 3/10 AI Infrastructure Buildout, Token Economics, and Market Realities Jason challenges the AI infrastructure buildout as a potential bubble, citing Jevons paradox and naming specialized hardware startups like Cerebras and Groq. Pat reframes the bubble concern by pointing out that global power grid limitations act as a natural governor on overbuilding.22:42–24:58 · Guest disagreement 4/10 The Timeline and Industry Impact of Quantum Computing Jason openly challenges the quantum computing narrative, noting it has been perpetually 'five years away' for decades. Pat firmly rejects the skepticism, asserting quantum supremacy will yield commercial utility before 2030.24:58–27:08 · Guest disagreement 0/10 Introducing Anton Osika and Lovable's Explosive Growth Jason introduces Anton Osika and praises Lovable's product focus on enabling non-developers to build software. Anton provides concrete metrics on platform usage, including project volume and web traffic growth.27:08–37:20 · Guest disagreement 1/10 Vibe Coding Evolution, Enterprise Adoption, and Internal Software Jason provides an extensive operational breakdown of how his team replaced a $500k software development quote with a 4-hour Lovable build for under $2,000. Anton explains how enterprise guardrails, automated security scanning, and backend hosting enable production-ready software.37:20–43:47 · Guest disagreement 2/10 Replacing Legacy SaaS with Bespoke AI Software and Open-Weight Models Jason probes whether bespoke AI apps will dismantle standard SaaS tools like Slack and Salesforce. Anton provides a real-world case study where a customer replaced ten internal tools to save over $1M annually, and details post-training fine-tuning on failure modes.43:47–49:23 · Guest disagreement 1/10 Token Consumption, Internal Co-opetition, and Interview Conclusion Jason asks about internal organizational conflicts when separate teams build competing custom apps for the same problem. Anton draws an analogy to particle physics research at CERN to advocate for internal co-opetition and rapid parallel experimentation.1:39–5:17 · The hosts pushing back 2/10 Intel's Cultural Shift: Technical versus Financial Leadership Jason demonstrates good tech history context by referencing bean counters, stock buybacks, and missed product opportunities like iPhone chips. Pat explains how Intel transitioned from technical PhD leadership under Grove and Moore to financial managers who prioritized capital return over long-term tech investment.5:17–7:57 · The hosts pushing back 1/10 Apple's Transition to Custom Silicon and Steve Jobs' Vision Jason prompts Pat about Steve Jobs initiating Apple's internal silicon project around 2008. Pat educates the host with an insider story revealing that Jobs had quietly ported macOS across four releases before informing Intel.7:57–14:12 · The hosts pushing back 2/10 Nvidia's GPU Revolution and TSMC's Foundry Dominance Jason quotes William Gibson regarding tech adoption and highlights Nvidia's convergence with crypto and AI. Pat outlines Jensen Huang's persistent building of CUDA and explains how TSMC's pure-play foundry model outpaced Intel's integrated model.14:12–17:29 · The hosts pushing back 2/10 The CHIPS Act, Supply Chain Resilience, and Geopolitical Risks Jason presses on geopolitical timeline risks surrounding a potential blockade of Taiwan and US CHIPS Act domestic capabilities. Pat schools the room by revealing Taiwan holds under three weeks of energy reserves, making a simple blockade catastrophic.17:29–22:42 · The hosts pushing back 4/10 AI Infrastructure Buildout, Token Economics, and Market Realities Jason challenges the AI infrastructure buildout as a potential bubble, citing Jevons paradox and naming specialized hardware startups like Cerebras and Groq. Pat reframes the bubble concern by pointing out that global power grid limitations act as a natural governor on overbuilding.22:42–24:58 · The hosts pushing back 6/10 The Timeline and Industry Impact of Quantum Computing Jason openly challenges the quantum computing narrative, noting it has been perpetually 'five years away' for decades. Pat firmly rejects the skepticism, asserting quantum supremacy will yield commercial utility before 2030.24:58–27:08 · The hosts pushing back 1/10 Introducing Anton Osika and Lovable's Explosive Growth Jason introduces Anton Osika and praises Lovable's product focus on enabling non-developers to build software. Anton provides concrete metrics on platform usage, including project volume and web traffic growth.27:08–37:20 · The hosts pushing back 1/10 Vibe Coding Evolution, Enterprise Adoption, and Internal Software Jason provides an extensive operational breakdown of how his team replaced a $500k software development quote with a 4-hour Lovable build for under $2,000. Anton explains how enterprise guardrails, automated security scanning, and backend hosting enable production-ready software.37:20–43:47 · The hosts pushing back 3/10 Replacing Legacy SaaS with Bespoke AI Software and Open-Weight Models Jason probes whether bespoke AI apps will dismantle standard SaaS tools like Slack and Salesforce. Anton provides a real-world case study where a customer replaced ten internal tools to save over $1M annually, and details post-training fine-tuning on failure modes.43:47–49:23 · The hosts pushing back 2/10 Token Consumption, Internal Co-opetition, and Interview Conclusion Jason asks about internal organizational conflicts when separate teams build competing custom apps for the same problem. Anton draws an analogy to particle physics research at CERN to advocate for internal co-opetition and rapid parallel experimentation.

speaking balance: gold is the hosts, purple is the guest (3 minute bins)

0:00 · the hosts 54.7% · guest 45.3%0:00 · the hosts 54.7% · guest 45.3%3:00 · the hosts 37.4% · guest 62.6%3:00 · the hosts 37.4% · guest 62.6%6:00 · the hosts 13.2% · guest 86.8%6:00 · the hosts 13.2% · guest 86.8%9:00 · the hosts 37.7% · guest 62.3%9:00 · the hosts 37.7% · guest 62.3%12:00 · the hosts 27.4% · guest 72.6%12:00 · the hosts 27.4% · guest 72.6%15:00 · the hosts 25% · guest 75%15:00 · the hosts 25% · guest 75%18:00 · the hosts 26.7% · guest 73.3%18:00 · the hosts 26.7% · guest 73.3%21:00 · the hosts 21.8% · guest 78.2%21:00 · the hosts 21.8% · guest 78.2%24:00 · the hosts 41.1% · guest 58.9%24:00 · the hosts 41.1% · guest 58.9%27:00 · the hosts 55.6% · guest 44.4%27:00 · the hosts 55.6% · guest 44.4%30:00 · the hosts 65.3% · guest 34.7%30:00 · the hosts 65.3% · guest 34.7%33:00 · the hosts 46.4% · guest 53.6%33:00 · the hosts 46.4% · guest 53.6%36:00 · the hosts 31% · guest 69%36:00 · the hosts 31% · guest 69%39:00 · the hosts 28.6% · guest 71.4%39:00 · the hosts 28.6% · guest 71.4%42:00 · the hosts 41.9% · guest 58.1%42:00 · the hosts 41.9% · guest 58.1%45:00 · the hosts 37.3% · guest 62.7%45:00 · the hosts 37.3% · guest 62.7%48:00 · the hosts 60% · guest 40%48:00 · the hosts 60% · guest 40%
Sharpest disagreement ▶ 22:41 Rejection of quantum timeline joke

Pat Gelsinger directly shuts down Jason's sarcastic comment about quantum computing being five years away for 25 years, insisting firmly that meaningful results will happen this decade.

Hardest push from the hosts ▶ 22:41 Pushback on quantum hype

Jason calls out the industry's perpetual moving target for quantum computing, refusing to accept vague future promises without an explicit deadline.

Biggest teaching moment ▶ 15:58 Taiwan energy blockade exposure

Pat Gelsinger exposes a critical vulnerability by explaining that Taiwan has less than three weeks of energy reserves, meaning a simple naval blockade would trigger an economic crisis worse than the Great Depression.

The host holds their own ▶ 31:40 Detailed ROI analysis of vibe coding

Jason demonstrates strong operational expertise by breaking down exact cost structures, comparing a $500k enterprise software project to a 4-hour $2,000 internal build using Lovable.

the scores for every segment, with the reasoning behind each
ChapterTopicThe hosts as informed peerGuest teachingGuest disagreementThe hosts pushing backWhy
Intel's Cultural Shift: Technical versus Financial Leadership 5512 Jason demonstrates good tech history context by referencing bean counters, stock buybacks, and missed product opportunities like iPhone chips. Pat explains how Intel transitioned from technical PhD leadership under Grove and Moore to financial managers who prioritized capital return over long-term tech investment.
Apple's Transition to Custom Silicon and Steve Jobs' Vision 4611 Jason prompts Pat about Steve Jobs initiating Apple's internal silicon project around 2008. Pat educates the host with an insider story revealing that Jobs had quietly ported macOS across four releases before informing Intel.
Nvidia's GPU Revolution and TSMC's Foundry Dominance 6712 Jason quotes William Gibson regarding tech adoption and highlights Nvidia's convergence with crypto and AI. Pat outlines Jensen Huang's persistent building of CUDA and explains how TSMC's pure-play foundry model outpaced Intel's integrated model.
The CHIPS Act, Supply Chain Resilience, and Geopolitical Risks 6722 Jason presses on geopolitical timeline risks surrounding a potential blockade of Taiwan and US CHIPS Act domestic capabilities. Pat schools the room by revealing Taiwan holds under three weeks of energy reserves, making a simple blockade catastrophic.
AI Infrastructure Buildout, Token Economics, and Market Realities 7634 Jason challenges the AI infrastructure buildout as a potential bubble, citing Jevons paradox and naming specialized hardware startups like Cerebras and Groq. Pat reframes the bubble concern by pointing out that global power grid limitations act as a natural governor on overbuilding.
The Timeline and Industry Impact of Quantum Computing 5646 Jason openly challenges the quantum computing narrative, noting it has been perpetually 'five years away' for decades. Pat firmly rejects the skepticism, asserting quantum supremacy will yield commercial utility before 2030.
Introducing Anton Osika and Lovable's Explosive Growth 4401 Jason introduces Anton Osika and praises Lovable's product focus on enabling non-developers to build software. Anton provides concrete metrics on platform usage, including project volume and web traffic growth.
Vibe Coding Evolution, Enterprise Adoption, and Internal Software 7511 Jason provides an extensive operational breakdown of how his team replaced a $500k software development quote with a 4-hour Lovable build for under $2,000. Anton explains how enterprise guardrails, automated security scanning, and backend hosting enable production-ready software.
Replacing Legacy SaaS with Bespoke AI Software and Open-Weight Models 6623 Jason probes whether bespoke AI apps will dismantle standard SaaS tools like Slack and Salesforce. Anton provides a real-world case study where a customer replaced ten internal tools to save over $1M annually, and details post-training fine-tuning on failure modes.
Token Consumption, Internal Co-opetition, and Interview Conclusion 6612 Jason asks about internal organizational conflicts when separate teams build competing custom apps for the same problem. Anton draws an analogy to particle physics research at CERN to advocate for internal co-opetition and rapid parallel experimentation.

Statements from this episode (22)

Assertion Partly supported
Gelsinger: Intel returned $100B to shareholders five years before his return
“In the five years five, six years before I came back, you know, Intel gave a hundred billion dollars to shareholders.”
Pat Gelsinger Jul 15, 2026 ▶ 3:27
Assertion Contradicted
Gelsinger: Intel did not build a new factory for a decade
“It hadn't built a new factory in a decade when I got there.”
Pat Gelsinger Jul 15, 2026 ▶ 3:54
Insight
Gelsinger: Tech companies must be run by technologists, not business executives
“Fundamentally this is a technology business and you need technologists running technology”
Pat Gelsinger Jul 15, 2026 ▶ 4:25
Assertion Supported
Gelsinger: Steve Jobs secretly ported four Mac OS releases to x86
“And I remember that Steve said, I've been working on that the last four releases. He had been preparing the core technologies inside of Apple For something that might happen in the future, you know, and he was already, you know, to me, I just remember, I was j…”
Pat Gelsinger Jul 15, 2026 ▶ 7:00
What-if
Gelsinger: World would be different if Intel hadn't canceled Larrabee project
“In my first departure from Intel, the project was killed a week after I left. And the world would have been so much different.”
Pat Gelsinger Jul 15, 2026 ▶ 10:16
Assertion Supported
Gelsinger: TSMC produces seven times as many semiconductor wafers as Intel
“Five to one, and now it's more like seven to one in terms of wafers, you know, to TSMC to Intel.”
Pat Gelsinger Jul 15, 2026 ▶ 14:06
Assertion Contradicted
Gelsinger: US leading-edge semiconductor manufacturing share grew from 12% to 18%
“When I came back, the U.S. Was building about 12% of leading edge. Today, that number is more like 18%.”
Pat Gelsinger Jul 15, 2026 ▶ 15:19
Assertion Partly supported
Gelsinger: Taiwan currently has less than three weeks of energy reserves
“The island of Taiwan has less than three weeks, a big article in the Wall Street Journal two weeks ago on this, less than three weeks of energy reserves.”
Pat Gelsinger Jul 15, 2026 ▶ 15:54
Assertion Partly supported
Gelsinger: Restarting a semiconductor fab after a shutdown takes 90 days
“When you turn off a fab, it doesn't come back on for 90 days, right?”
Pat Gelsinger Jul 15, 2026 ▶ 16:16
Assertion Partly supported
Gelsinger: China blockaded the Taiwan Strait seven times in four years
“I think China has blockaded the Taiwan Straits seven times over the last four years.”
Pat Gelsinger Jul 15, 2026 ▶ 16:45
Prediction Not checkable as stated
Gelsinger: AI infrastructure buildout will last a couple of decades
“I am an optimist, you know, that we're in a couple of decade build out. Right. Not a couple of years, a couple of decades.”
Pat Gelsinger Jul 15, 2026 ▶ 19:45
Prediction Open · timeframe Dec 2033
Gelsinger: Quantum computing will likely break encryption by 2032 or 2033
“You know, 20, 2020, 32, 20, 33, when we solve, you know, things like encryption, right, you know, where, you know, he'll have the fundamental Q day, you know, kind of implications.”
Pat Gelsinger Jul 15, 2026 ▶ 23:16
Prediction Open · timeframe Dec 2029
Gelsinger: Quantum supremacy will occur across multiple industries before 2030
“But this decade, we will see quantum supremacy results across multiple industries.”
Pat Gelsinger Jul 15, 2026 ▶ 23:31
Assertion Not checkable as stated
Osika: One million new projects are built on Lovable every week
“We're seeing a million new projects built every single week on the platform.”
Anton Osika Jul 15, 2026 ▶ 25:46
Assertion Not checkable as stated
Osika: Applications built on Lovable receive over 700 million monthly visits
“We're actually seeing as a proof of that more than seven hundred million visits to the applications every month.”
Anton Osika Jul 15, 2026 ▶ 26:06
Assertion Not checkable as stated
Osika: More than 50 million apps have been built on Lovable
“More than fifty million apps built on the platform to date.”
Anton Osika Jul 15, 2026 ▶ 26:16
Assertion Not checkable as stated
Osika: Enterprise is currently Lovable's fastest-growing customer segment
“Where we're actually growing fastest right now.”
Anton Osika Jul 15, 2026 ▶ 26:52
Assertion Not checkable as stated
Osika: 80% of Lovable users are non-technical
“About 20% are technical or some type of engineer, and they love that we're quite opinionated. We put all the best practices into how the software is architected, and we make it seamless to we want from get payments set up in a very secure way. And do things li…”
Anton Osika Jul 15, 2026 ▶ 28:04
Assertion Not checkable as stated
Osika: Businesses are generating over $1 million in revenue using Lovable
“Now what we're seeing is that people are running businesses making more than a million dollars of revenue on the, on this platform.”
Anton Osika Jul 15, 2026 ▶ 28:48
Assertion Not checkable as stated
Osika: Lovable's hosting product is growing faster than its software builder
“What we've done since then is to have a new product line, basically the hosting part, which is both the AI And, you know, all the normal hosting, and that product line has been growing faster than the building thing.”
Anton Osika Jul 15, 2026 ▶ 35:13
Assertion Not checkable as stated
Osika: Nursa replaced ten internal tools with Lovable, saving over $1M
“They've now replaced more than 10 tools that they had. Bespoke applications. And I think in terms of your question, You can do that for multiple reasons. In their case, they're saving more than a million dollars per year.”
Anton Osika Jul 15, 2026 ▶ 38:26
Insight
Osika: Engineering is no longer the bottleneck in building software
“And now since the engineering is less of the bottleneck, it's more the question of what is the right thing to build?”
Anton Osika Jul 15, 2026 ▶ 46:32
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 460 episodes transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.