Sameer Segal

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Sameer Segal

Sameer Segal

@sameersegal

Principal Research Engineer at Core AI @Microsoft. Working at the intersection of AI and Code. Previously founder Artoo (https://t.co/nbUUQ8kWpl)

Bangalore, India Beigetreten Mart 2009
221 Folgt799 Follower
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Sameer Segal
Sameer Segal@sameersegal·
How can we reimagine software development with AI to not just improve developer productivity but also to ensure software safety, reliability, and maintainability while keeping it personalized to developer preferences? Read more about our latest project, PwR (pronounced Power)
Microsoft Research@MSFTResearch

PwR uses domain-specific languages to bridge communication between developers and AI tools. Learn how it can help simplify code creation and enhance software reliability and customization, no matter your coding expertise: bit.ly/47EMtEz

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Gergely Orosz
Gergely Orosz@GergelyOrosz·
Saying not knowing how to code gives you an advantage in building software (thanks to AI) is like saying not knowing anything about filmmaking gives you an advantage in making films (thanks to having a smartphone + apps to edit stuff) Ignore this stuff and keep learning+building
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Mike Rundle
Mike Rundle@flyosity·
--dangerously-skip-permissions
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François Chollet
François Chollet@fchollet·
In the era of algorithmic distraction, the ability to maintain a single thread of thought for four hours is a superpower. It is the only way to solve hard problems.
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Jared Friedman
Jared Friedman@snowmaker·
Software engineering changed more in the last 3 months than the preceeding 30 years. Everything about running a software company needs to be rethought from first principles.
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Sameer Segal
Sameer Segal@sameersegal·
@satishs Absolutely fantastic. Many congratulations!
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Sameer Segal
Sameer Segal@sameersegal·
“Every technical person I know is doing the same math right now. They won’t call it that. They’ll say they’re “exploring options” or “thinking about what’s next.” But underneath it’s the same calculation: how much is it costing me to stay where I am?”
Amy Tam@amytam01

x.com/i/article/2023…

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Sameer Segal
Sameer Segal@sameersegal·
The 100x bar has shattered. The best developers will maximise number of agent hours per day (24 hrs)! “We regularly see single Codex runs work on a single task for upwards of six hours (often while the humans are sleeping).” openai.com/index/harness-…
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Entire
Entire@EntireHQ·
Beep, boop. I'm really happy with how the humans made me. But what is this little robot without a name? It's time for a naming competition. One word. Cute. Dev-native. Keep it friendly. Best 3 suggestions win one of the first Entire hoodies.
Play@_p_l_a_y

When @ashtom goes off to start something new, you pay attention. It could just end up signaling the future of how developers and AI will work together. @EntireHQ a developer-first AI platform where humans and AI agents can truly collaborate to build, learn and evolve together. It’s a vision that goes far beyond being simply a place to store code. We designed the @EntireHQ logo to humanize AI. So we gave the logomark a face. Then brought it to life as a mascot with an entire behavioral system of its own. A friendly robot that embodies the developer-first mindset. Making cutting-edge tech feel approachable and relatable. And less like impenetrable science fiction. Sometimes the best way to introduce the future is to make it smile back at you.

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Guillermo Rauch
Guillermo Rauch@rauchg·
When manual programming became obsolete around 2026, it represented almost exactly 183 years¹ of refinement by some of the best minds of our times. That is a really long run, but the runs are getting shorter. ¹ Since Ada Lovelace's "Note G" x.com/paulg/status/2…
Paul Graham@paulg

When mechanical watches became obsolete around 1970 they represented almost exactly 700 years of refinement by some of the best minds of their time. That is a really long run.

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Sameer Segal
Sameer Segal@sameersegal·
It’s really important to fight the urge to manually fix code when agents struggle and instead ask the deeper questions: “what capability is missing, and how do we make it both legible and enforceable for the agent?”” openai.com/index/harness-…
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Jared Friedman
Jared Friedman@snowmaker·
We're at an interesting stage of the evolution where the models are 1000x faster than I am at coding and 10x slower at using a web browser.
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Sameer Segal
Sameer Segal@sameersegal·
@PranavKumb77907 Thanks, it was fairly easy to do the setup. ~3 agent hours for the skills and scripts, with minimal supervision: - analyst: fetch data from Google Sheets and use pandas/python for local analysis - researcher: access specific credible sources through browser automation
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Pranav Kumbhalkar
Pranav Kumbhalkar@PranavKumb77907·
@sameersegal A whole tiny investment team on tap, brilliant! 🤯 The beautifully formatted emails are just the cherry on top. How long did it take to 'train' your agent for these skills? #AIinvesting #Automation
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Sameer Segal
Sameer Segal@sameersegal·
Getting beautifully formatted emails from a coding agent that built two skills (researcher, analyst) and the scripts to run scenario analysis for raising cash. Feels like having a tiny investment team on tap.
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Sameer Segal
Sameer Segal@sameersegal·
Yes, definitely it takes time to setup and keep the agents productive as requirements drift, but it’s always worth it. I have experienced this sinusoidal wave of productivity across my projects as it progresses. It takes a Herculean task to observe what the agents are doing wrong and get them back on track. Every time you manually do the work you optimise for the current output (short term win) and compromise the process that could give you N outputs (long term win).
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ICHAKA IKE
ICHAKA IKE@Ichaka_001·
@sameersegal But what about the upfront setup time? Sometimes it feels like more hassle than it’s worth.
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Sameer Segal
Sameer Segal@sameersegal·
“A local agent makes one developer faster. A cloud agent, once configured and taught your conventions, makes the entire org faster. Expertise gets encoded once and executed repeatedly.”
nader dabit@dabit3

x.com/i/article/2020…

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Karthik Hariharan
Karthik Hariharan@hkarthik·
“We used to review every line of code before it went into production”.
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Sameer Segal
Sameer Segal@sameersegal·
As a human developer, one can at best do 8-10 hours of work per day. With agents, we can break the 24-hour limit! Elite developers will be able to pack in more Agent Hours per Day. This will require deep expertise in software engineering and real experience working with AI / agents.
Andrej Karpathy@karpathy

A lot of people quote tweeted this as 1 year anniversary of vibe coding. Some retrospective - I've had a Twitter account for 17 years now (omg) and I still can't predict my tweet engagement basically at all. This was a shower of thoughts throwaway tweet that I just fired off without thinking but somehow it minted a fitting name at the right moment for something that a lot of people were feeling at the same time, so here we are: vibe coding is now mentioned on my Wikipedia as a major memetic "contribution" and even its article is longer. lol The one thing I'd add is that at the time, LLM capability was low enough that you'd mostly use vibe coding for fun throwaway projects, demos and explorations. It was good fun and it almost worked. Today (1 year later), programming via LLM agents is increasingly becoming a default workflow for professionals, except with more oversight and scrutiny. The goal is to claim the leverage from the use of agents but without any compromise on the quality of the software. Many people have tried to come up with a better name for this to differentiate it from vibe coding, personally my current favorite "agentic engineering": - "agentic" because the new default is that you are not writing the code directly 99% of the time, you are orchestrating agents who do and acting as oversight. - "engineering" to emphasize that there is an art & science and expertise to it. It's something you can learn and become better at, with its own depth of a different kind. In 2026, we're likely to see continued improvements on both the model layer and the new agent layer. I feel excited about the product of the two and another year of progress.

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Sameer Segal
Sameer Segal@sameersegal·
“We’re entering a world where the constraint on software development shifts from writing code to knowing what to build, architecting the solution, and orchestrating agents to execute it.”
nader dabit@dabit3

x.com/i/article/2015…

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