pmanvi

Autonomy, Mastery & Purpose.Building web-scale SaaS Solutions in Cloud (AWS,GCP,Azure). Ex-Yahoo, Ex-Oracle, Ex-{startups}.

[pmanvi @pmanvi]

Platform engineer - prepared for a marathon because it requires long-term pacing, continuous stamina, and a focus on building sustainable foundations rather than just quick sprints. The eco system should support that.

[pmanvi @pmanvi]

Biggest advantage of working with technical savy leadership, engineering is treated as a craft and a partnership, not just a cost. That's awesome place to be in.

[pmanvi @pmanvi]

trade is platform cost Vs repeated AI point solution builds, duplicated teams, manual compliance work, production incidents, and loss of leverage.
If there is no platform, non tech teams become token munching maniacs bring so many illusion demos and adding to AI fatigue

[pmanvi @pmanvi]

Nice speech. Optimism, work on hard things and do the things that excites you.

[pmanvi @pmanvi]

“Every company is going to have to build human capital and token capital. Human capital comprises the knowledge, judgment, relationships, ingenuity, and pattern recognition of its people, while token capital is the firm’s AI capability it builds and owns.”profound & philosophical

[Satya Nadella @satyanadella]

https://t.co/vLmiBKTtX3

[pmanvi @pmanvi]

Startup Idea: Build assessment platform to measure “Judgment under ambiguity, earned trust, taste, the courage” as software skills, coding is becoming commoditized.
"Certified AI Engineer"

[pmanvi @pmanvi]

“listen” to what your stakeholders say/complain but “understand” what they need. Make sure to customers describe a problem and not solution. Usually real users articulate problems well but not solutions.

[pmanvi @pmanvi]

One of the strong argument I heard. Slop code and incorrect sense of completion is the risk.

[Haider. @haider1]

Creator of C++, Bjarne Stroustrup:

AI-generated code isn't ready — it generates more bugs, more bloat, more security holes, and is nearly impossible to validate

"senior developers are already retiring rather than deal with it"

The problem is that even a small prompt change can shift the entire codebase in unpredictable ways

[pmanvi @pmanvi]

Power of single person

[JT @jiratickets]

karpathy pulling up to the office for his first day on the research team

[pmanvi @pmanvi]

Accurate

[Sick @sickdotdev]

Agree?

[pmanvi @pmanvi]

System based AI, bla bla and bla

[pmanvi @pmanvi]

IMO, there is merit to be 100% sales driven company but one should avoid calling it tech company. Things matter most cannot be at things matter less for company.

[pmanvi @pmanvi]

People are lazy, your product goal should be to make them more lazy.

[Startup Archive @StartupArchive_]

Perplexity founder Aravind Srinivas explains the “user is never wrong” philosophy of Larry Page

Aravind recounts a story of Larry Page’s meeting with the CEO of Excite. Excite was the #2 search engine behind Yahoo at the time, and they were interested in buying Google. The two CEOs compared the search results of their products side-by-side.

When Google’s results were clearly better, Excite’s CEO tried to excuse his product’s performance: “If you typed the query this way, it would’ve worked.”

Aravind believes this is an important difference in philosophy between Google and Excite. Larry Page believed that a search engine should give high quality answers regardless of what the user typed:

“You do all the magic behind the scenes so that even if the user was lazy, even if there were typos… they still got the answer and they love the product.”

Today Google dominates search, and most people have never heard of Excite.

Aravind believes the best AI products will adopt this same philosophy and that “prompt engineering” won’t be a long-term thing.

“I think you want to make products work where a user doesn’t even ask for something. You know that they want it and you give it to them… People are lazy and a better product should be one that allows you to be more lazy, not less. Products need to have some magic to them, and the magic comes from letting you be more lazy.”

Source: @lexfridman (Jun 2024)

[pmanvi @pmanvi]

More code != more profit.
Using LLMs/agents to build dysfunctional functionalities is not the problem of AI, finding correct problem statement and solution remains the highest leverage than execution speed.

[pmanvi @pmanvi]

@kskrygan Yes, yes and 🙌

[pmanvi @pmanvi]

Nicely written - https://t.co/t4rYK57bIg

[pmanvi @pmanvi]

Customer is paying but he can't think beyond and sees its cheap ..., AI making life more difficult.

[pmanvi @pmanvi]

I owe my entire 20+ year career to the creators of the Spring Framework. Their vision didn’t just shape how I build software, it shaped my life as an engineer.

[Cult.Repo @CultRepo]

Spring: The Documentary arrives 7th May! 🍃

Spring didn’t start as a framework, it started as a reaction to complexity in enterprise Java.

What followed was a movement that redefined how modern applications are built, from Spring Boot to the cloud era.

This is the story behind one of the most influential technologies in software.

[pmanvi @pmanvi]

AI is making 'effectiveness' undervalued compared to 'efficiency'. As the first one is visible only over the time, false sense of productiveness is bringing great dis-service to technologists who cares for craft & unfortunately with AI fatigue, it is becoming worse day by day.

[pmanvi @pmanvi]

I just published Style guide for Evolvable AI native architecture https://t.co/n6uVtsE1jz