Head of Engineering @calcom
Earth
Based in United States
- Tweets 290
- Following 97
- Followers 526
- Likes 199
AI is helping teams move faster, but the pressure to constantly keep up can quietly turn productivity into burnout.
As AI changes how we work, leaders need to rethink how they measure performance, and how they protect the balance between output and sustainability.
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The goal isn't to resist AI or use it recklessly. It's to build the systems that let teams trust it.
Combine AI-first workflows with clear policies, automated testing, and human oversight where it matters, and you get speed without chaos.
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AI is changing software engineering from solving every low-level complexity by hand to focusing more on what we can actually create.
The real opportunity isn't building faster just to ship more. It's using that newfound speed to build better systems, better products, and ultimately better outcomes for people.
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Made a fun visualization of our @calcom engineering team's PR interactions.
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The hardest feedback conversations become easier when you lead with facts instead of assumptions.
Give feedback early and often, use data to remove subjectivity, and then create space to understand the context behind the numbers, because honest conversations work best when they're grounded in reality.
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The hardest shift for technical leaders is often letting go of the work they love most. Moving from writing code to creating the conditions for great teams, better systems, and future innovation requires a different kind of problem-solving, one focused on scale, strategy, and long-term impact.
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Great teams are built on trust, not constant oversight. The best leaders create an environment where talented people can bring their experience, collaborate on ideas, and have the autonomy to execute without someone constantly checking over their shoulder.
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Great engineering is about balance. Writing perfect code for every scenario can slow progress, but ignoring quality creates problems that compound over time. The goal is to build with enough discipline that your product can scale without losing the ability to move fast.
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AI is making it easier than ever to build software, but building isn’t the same as operating. The future of SaaS is providing the reliability, scale, support, and continuous improvement that businesses don’t want to manage themselves.
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When product configuration becomes confusing, the product has failed to communicate. Software is moving from endless settings and documentation toward intelligent systems that understand what users are trying to accomplish and guide them there.
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AI is giving engineers more time to practice the parts that matter most. When AI handles the repetitive work, developers can spend more energy on creativity, architecture, problem-solving, and building things that never existed before.
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The future of engineering hiring is going to come down to who can think the most clearly. As AI changes how software is built, the differentiator becomes judgment: knowing which tools to use, how to use them, and understanding the impact of the work they create.
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The best hiring decisions are really about finding people you can trust. Skills matter, but the strongest teams are built with people who show ownership, support their teammates, and earn a “hard yes” from everyone they meet.
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Post team retreat (clearly in June), we added a couple key roles and also built an E2E auto-healer, sharpened our process to work from Right-to-Left in Linear and honed in on PR review turnaround times. The result has been a mostly sustained 1.5x increase in output. Awesome.
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AI is changing how we evaluate talent. When tools can solve the textbook problems, the real differentiator becomes experience, judgment, and the ability to explain what you actually built, broke, and learned along the way.
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Just had our biggest month in terms of reviewing and merging PRs on our core team, with team size over the same time period increasing at a much smaller clip. Love to see it.
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Studying some Japanese and reminded of how amazing it is to put a smile on someone’s face when you speak their language and understand their culture, even just a little. Let’s not lose this completely to AI. 🙏🏼
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Was looking at data recently and just wanted to say thanks to open source contributors. You all rock.
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@SpursOfficial Checked an item off my bucket list today. Tottenham vs. Man City was an absolute blast.
