Igor Faletski retweeted
Great question. My rough framing is that AI has given engineering a 100x boost, product 10x, and design 5x. That imbalance creates real strain: engineers can merge lots of individual changes while the overall UX gets less coherent, and designers burn out trying to keep up.
Design is a deep craft. It takes thought and a view of the whole experience. We haven’t given designers tooling that matches how quickly we can now produce code.
That’s why we’re building Inspect for designers. The ambition is to give them the 200x boost. Then engineers can be the ones trying to keep up :)
Will on-site commerce search be a casualty or a net winner from agents doing more and more shopping on behalf of the users?
Seems that it's possible to argue either way.
Great #Polyglot unconference today! Here’s @johnboxall leading an awesome session on engineering anti-patterns in the AI era.
There’s a significant delay between the pace of consumer AI and what enterprise is *actually* using & being offered by vendors. It’s often the case in tech cycles but the contrast today is a lot more jarring.
Super interesting @apeatling! Given open source has been really beneficial to agent awareness of platforms, why do you think that’s the case?
Italian trains be like, let’s have 1000 people disembark and board in five minutes.
But then, here is a lake with a mountain with a picturesque town with a palazzo with sailboats. 100x rinse and repeat.
One thing dhh forgets to mention in his excellent keynote is that the “decades of chiseling code by hand” were a direct pre-requisite to AI now excelling at the same. We’ve all helped build this wonder. youtu.be/vDjW_dRyKXY?si=lQTy…
Igor Faletski retweeted
just got off the phone with a new engineer hire at a portco with a very wise insight
“AI has been replacing my job since I got a CS degree, yet I’m busier than ever - we can all just be more ambitious”
this is the same insight that the inimitable @JensenHuang has for us all
Igor Faletski retweeted
I think we’re dramatically underestimating how many decisions in normal software are only deterministic because inference used to be too expensive.
Igor Faletski retweeted
People rest when things are settled. Nothing about this is settled. Every week the map redraws itself and you either keep up or wake up irrelevant. That's exhausting and also the most alive I've felt in this industry. Both things are true at once.
In my first company, as a founder in early 20s with compsci background, I actively seeked out experts in GTM, sales, FP&A just to understand how those functions work.
Today I can get any specific question on those fields answered at a very high level of proficiency in a few keystrokes with Claude on Saturday morning.
What does it mean for human start-up exec expertise? It’s very important to be extremely current about where the edge in your field has been in the most recent 3-6 month window, and knowing how to practice it. Having a human network to bring in talented hires. Ability to execute, not just pattern match.
The opportunity is only bigger for the best of the best - and not there the way it used to be for those underinvesting in staying *very* current.
Salesforce’s excellent results are a timely reminder that having years and years of system of record data *is* an AI moat after all. Having Slack doesn’t hurt either!
A less obvious fitness heuristic: your ideal exercise schedule is a function of your perfect sleep schedule.
Lots of buzz this week about ChatGPT downgrading the share of Reddit content in its answers compared to brands' owned and operated sites. It really puts the focus back on web content production pipeline and raises the bar for what retailers in particular need to be doing. 1-2 pages launched per month is not enough.
In our experience, best-performing content marketing teams are not held up by legacy systems and processes:
- Content creation is agent-first, with human users providing creative vision and oversight.
- The whole workflow is automated with agents end-to-end (not just text generation alone): if multiple teams are involved in content production and approval, the AI has multiplayer UX in place.
- Performance and benchmarking data informs every step of campaign prioritization, publishing and ongoing optimization, vs sitting in a silo'ed dashboard somewhere
- All of this is operating on an autonomous loop directly tied to traffic and GMV trends, pulling in the marketers proactively to move much faster overall.
If you're interested in adopting a modern agentic marketing platform to get ahead with AEO/GEO/SEO and grow GMV faster, send me a dm!