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Bigger is better, right?
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I periodically return to several ideas, as I talk to founders.
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Recently I had the pleasure of taking a workshop by Jeff Patton.
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It’s overly pithy to reduce things to a binary, but I’ve done it before and I’ll do it again.
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So, there’s a story I frequently tell about my first “real” job.
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I keep returning to loops lately, with my work with engineering organizations (and with how popular AI loops have been across LinkedIn).
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“What got you here won’t get you there” applies not only to founders, but to the organizations they build.
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I’m often asked “what does a fCPTO, really”?
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“My dear, here we must run as fast as we can, just to stay in place.
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One thing that strikes me recently is how disparate AI adoption has become.
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I’ve said it a few times, and I’ll say it again - AgentEx is DevEx.
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I’m frequently asked why some people see more success with AI than others.
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One concept I keep returning to is that of local maxima.
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What models are capable of and what they aren’t capable of continues to astound me.
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Hunter has been instrumental as I am working on building my product and scaling my business.
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Over the past year, Hunter has continued to be an invaluable advisor to me and to PathSynch.
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Hunter is very experienced and insightful.
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What is a weirdness budget?
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I really see this moment as an inflection point (as so many recent moments have been).
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I’d like to preface with a disclaimer: I do think you should be using agentic tools and engaging with them.
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One interesting failure I see in many startups is a lack of a career ladder.
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Core values are a concept I return to time and time again, across the companies I advise.
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I’ve joined many engineering organizations, and there’s one metric I return to that differentiated successful organizations from unsuccessful ones - time to onboard, as measured by time to first release.
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Process orientation vs outcome orientation has been debated endlessly over the years.
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The Iron Triangle is a classic model of constraints.
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Many companies come to me with questions about early technical hiring.
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I’ve had full rewrites come up several times recently, and so I wanted to write about them.
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At the current moment, “Shadow AI” and “SaaS is dead” are two popular topics.
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I have frequent conversations (and frequently see conversations on LinkedIn) focused on whether Codex, Cursor, or Gemini is the best too.
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Do you have an idea for an app?
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Our corporate culture today has a recurring message that I think is extremely problematic: that Engineering should be special and different from other organizations.
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In talking with founders about their AI strategy, I’ve noticed consolidation into two major camps of AI assisted acceleration: Planners and Experimenters.
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I had a few recurring conversations recently in one of my communities: Engineers were preparing high volumes of code in pull requests, that were then getting jammed up in review.
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Services Link to heading Most of the companies I talk to are spending a fortune on engineering and can’t say what they’re getting for it.
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About Me Link to heading I’m Hunter, and this is Hunter Software Consulting.
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Hunter Software Consulting is that energetic advisor that blends engineering rigor with practical founder empathy.
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Hunter is in the elite category of advisors I’ve worked with, and for good reason.
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Hunter Software Consulting is the advisor you call when you need clarity and momentum.
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Hunter Software Consulting has been a reliable, high-leverage resource for PathSynch and for other founders in my community.