Kestas Barzdaitis

Engineer, Technologist, Entrepreneur. A believer in science, teamwork, and human relationships. Building AI and Tech products. +Sailing, Golf, Racing, Space.

[Kestas Barzdaitis @kaskas]

Strongly agree.

[Satya Nadella @satyanadella]

https://t.co/vLmiBKTtX3

[Pope Leo XIV @Pontifex]

Today, among the goods that are universally intended for everyone, we must also include new forms of property, such as patents, algorithms, digital platforms, technological infrastructure and data. In a context where the wealth of nations depends increasingly on knowledge and technology, when these goods remain concentrated in the hands of a few, without adequate forms of sharing and access, a new imbalance is created that contradicts the universal destination of goods. In turn, it widens the gap between the included and the excluded, between those who can participate in the digital revolution and those who remain on the margins. #MagnificaHumanitas

[Kestas Barzdaitis @kaskas]

SaaS UIs are being retired by agents who don't need the UI. We are entering the headless software era.

"The primary user will be an agent", Google's VP of Data Cloud said at Cloud Next last week.

[Gavriel Cohen @Gavriel_Cohen]

https://t.co/MgR02JJZo4

[Andrej Karpathy @karpathy]

Cool chart showing the ratio of Tab complete requests to Agent requests in Cursor. With improving capability, every point in time has an optimal setup that keeps changing and evolving and the community average tracks the point. None -> Tab -> Agent -> Parallel agents -> Agent Teams (?) -> ???

If you're too conservative, you're leaving leverage on the table. If you're too aggressive, you're net creating more chaos than doing useful work.

The art of the process is spending 80% of the time getting work done in the setup you're comfortable with and that actually works, and 20% exploration of what might be the next step up even if it doesn't work yet.

[Kestas Barzdaitis @kaskas]

Companies continue to move labor to usage-based pricing.

You can now rent a humanoid robot for €899/day across 17 countries. AGIBOT launched Robot-as-a-Service at #MWC26. The SaaS model, but for physical agents.

KDDI plans to deploy physical AI humanoid robots in its retail shops, medical facilities, museums, and recreational centers.

[Zack Shapiro @zackbshapiro]

https://t.co/QVaE6niDY2

[Kestas Barzdaitis @kaskas]

ALSO: Anthropic pledged to absorb electricity price increases at its data centers and cover grid infrastructure costs.

Training a single AI model now requires gigawatts of power. This move matters as much as funding itself. It will give Anthropic the social license to operate AI at scale that requires more than technical ability. The constraint on AI isn't models anymore. It's MW.

[Elon Musk @elonmusk]

We will make the new 𝕏 algorithm, including all code used to determine what organic and advertising posts are recommended to users, open source in 7 days.

This will be repeated every 4 weeks, with comprehensive developer notes, to help you understand what changed.

[Andrej Karpathy @karpathy]

The hottest new programming language is English

[Y Combinator @ycombinator]

Andrej Karpathy's (@karpathy) keynote yesterday at AI Startup School in San Francisco.

[Andy Jassy @ajassy]

One of the most tedious (but critical tasks) for software development teams is updating foundational software. It’s not new feature work, and it doesn’t feel like you’re moving the experience forward. As a result, this work is either dreaded or put off for more exciting work—or both.

Amazon Q, our GenAI assistant for software development, is trying to bring some light to this heaviness. We have a new code transformation capability, and here’s what we found when we integrated it into our internal systems and applied it to our needed Java upgrades:

- The average time to upgrade an application to Java 17 plummeted from what’s typically 50 developer-days to just a few hours. We estimate this has saved us the equivalent of 4,500 developer-years of work (yes, that number is crazy but, real).

- In under six months, we've been able to upgrade more than 50% of our production Java systems to modernized Java versions at a fraction of the usual time and effort. And, our developers shipped 79% of the auto-generated code reviews without any additional changes.

- The benefits go beyond how much effort we’ve saved developers. The upgrades have enhanced security and reduced infrastructure costs, providing an estimated $260M in annualized efficiency gains.

This is a great example of how large-scale enterprises can gain significant efficiencies in foundational software hygiene work by leveraging Amazon Q. It’s been a game changer for us, and not only do our Amazon teams plan to use this transformation capability more, but our Q team plans to add more transformations for developers to leverage.

[Kestas Barzdaitis @kaskas]

@CodeFactor_io In depth code quality analysis for c# and .Net. 🎸

[Kestas Barzdaitis @kaskas]

Data is gold. Processing power is just a cost of energy. Restating the obvious?

[codefactor.io @CodeFactor_io]

Rolled out latest version of Linter for Dart with new lints, fixes and Dart 3.0.0 support. 🎊

#dart #codereview #codequality