Speaking about software engineering, AI, productivity, happiness, and intentional living. 🚀
I enjoy exploring ideas, sharing what I learn, and building products that solve meaningful problems.
Topics I regularly discuss include:
* Software engineering and product development
* AI and emerging technologies
* Productivity and time management
* Personal growth and lifelong learning
* Building systems, habits, and processes that last
* Creating a fulfilling and intentional life
Through writing, building, and continuous learning, I aim to share practical insights that help people think more clearly, work more effectively, and live more intentionally.
I’m always interested in connecting with curious people, exchanging ideas, and collaborating on projects that create a positive impact.
www.pierrehenry.dev (https://www.pierrehenry.dev?utm_medium=podcast)
How Software Engineers Stay Positive Under Pressure and Actually Enjoy Their Work
A space dedicated to product-first software engineering, where the focus stays on building meaningful software with clarity, intention, and strong fundamentals.
I share how to think like an engineer who is responsible for outcomes, not just code. It is about understanding problems properly before solving them, designing systems that remain simple over time, and making decisions that improve both the product and the experience for real users. The goal is to move away from unnecessary complexity and towards solutions that are direct, reliable, and easy to reason about.
It reflects the daily reality of being a software engineer: managing endless cognitive/mental load, staying consistent under pressure, and maintaining direction when everything feels fragmented. Technical work is always tied to mental structure, so part of this writing focuses on how to organise thinking, how to prioritise effectively, and how to keep momentum without losing clarity.
This is about building software with care and purpose. It is about improving as a builder over time, learning from real-world constraints, and developing habits that support long-term progress rather than short bursts of output.
I’ve built many projects on my GitHub (https://github.com/pH-7) over the years that you can check out for inspiration or contribution! I’ve got plenty more content coming your way on my LinkedIn (https://www.linkedin.com/in/ph7enry)! Hit the ‘follow’ button so you are sure to not miss out! Enjoy!
Thanks for reading The Healthy Scientist: Build Using AI With Healthy Habits 🌱
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev (https://www.pierrehenry.dev?utm_medium=podcast&utm_campaign=CTA_1)
10 Oct 2026
Build BETTER Habits Every Day as a Software Engineer
Improving as a software engineer does not come from big, rare efforts. It comes from what you do every day. Starting something new, challenging yourself, iterating, and refining your work builds real progress over time. In this video, I share how small daily actions, combined with the right mindset, can help you grow steadily and become a stronger, more confident engineer.
Focused outside, building and improving step by step, turning small daily effort into real progress.
Get inspired by open-source projects I’ve built over the past years on my GitHub (https://github.com/pH-7). And I’ve also plenty more content coming soon on my LinkedIn (https://www.linkedin.com/in/ph7enry)! Don’t forget to follow and stay tuned!
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev (https://www.pierrehenry.dev?utm_medium=podcast&utm_campaign=CTA_1)
2 Oct 2026
How Elite Engineers Use Claude Agents, Git Worktrees and Parallel AI Tasks to Ship Faster
Modern engineering is no longer about writing every line of code manually. It is about orchestrating systems of intelligent agents that can explore, build, test, and iterate in parallel.
By combining Claude Code agents, product-focused Claude agents, and Git worktrees with tools like Superset.sh and parallel task execution, you can split complex engineering work into independent streams. Each stream solves a part of the system while you keep full control of architecture, quality, and intent.
The real skill is not prompting. It is structuring context clearly so agents operate with precision. A strong context prompt becomes your execution layer, defining constraints, goals, and boundaries so every run produces meaningful output.
In practice, this is what high-leverage engineering looks like today: active exploration of codebases through better reading and learning loops, daily and weekly self-challenge cycles to avoid stagnation, full ownership of source code and every decision shipped, deep focus on problem understanding before execution begins, running multiple AI agents in parallel environments, curiosity-driven iteration over linear development, and scheduled automation jobs that keep systems running and improving without manual intervention.
This is how strong engineers operate in the AI era. Not by doing more work, but by designing systems where work happens concurrently, intelligently, and under clear ownership.
I’ve built many projects on my GitHub (https://github.com/pH-7) over the years that you can check out for inspiration or contribution! I’ve got plenty more content coming your way on my LinkedIn (https://www.linkedin.com/in/ph7enry)! Hit the follow button so you are sure to not miss out!
This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.pierrehenry.dev (https://www.pierrehenry.dev?utm_medium=podcast&utm_campaign=CTA_1)
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Apple Podcasts (US)
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Spotify
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