This publication, “When Engineers meet AI” dives deep into the emerging space of intelligent, physical, and future engineering. We explore how full-stack AI systems that perceive, reason, and act in the world are engineered from their model core to the outer human experience.
As a thank you, I offer free mentorship sessions both short and long term to community members who help grow the space through referrals.
Please take a look! https://engineersmeetai.substack.com/leaderboard
2025/26 Focus : Exploring AI as an Engineer
Here are the main topics I’ll be exploring, my personal roadmap for learning, writing and building in AI:
The Future Language: Language for AI?
Rust will likely play a key role in future AI development. However, it's also possible that a new language will evolve, or that AI itself will begin suggesting new forms of language for optimal interaction.
While Python drives AI now, Abstraction alone can’t sustain the future of AI. Underlying resource optimization, speed, and Compiler Infrastructure are other key factors that need to be revisited and many of them are rewritten in Rust or high-performance programming languages.
Open Source AI
I have a deep appreciation for the open-source community with incredible initiatives, tools, and models that are making AI more accessible and affordable for everyone. I will be sharing insights, explaining complex concepts, and providing implementation details on how these innovations can be applied across various fields.
Software Agenting
Software Engineering + AI = Software Agenting
AI is helping engineers build new software. I'll share product-based learning experiences, solving real-world problems by building applications using Agent Frameworks, including code, tools, best practices, and videos (to finally break my shyness and get it done!).
My Journey into Physical AI
I'm fascinated by Robotics AI, a field with many unsolved problem, especially at the software layer. As a software engineer without a background in mechanical or electronics engineering, I'm exploring the software and tools that power robotics, starting with platforms like ROS2. I'll share my learning journey, resources, and robotics projects I plan to build with my son. If you're on a similar path, this is for you.
Engineer’s Playbook
The EggPuff Engineer, my virtual identity. This space will be dedicated to philosophical engineering, sharing raw reflections from my journey: lessons, missteps, and shaping moments. We’ll explore how to grow in engineering with integrity, staying true to your principles rather than just following the standard templates.
Artifacts - Monthly Newsletter
A short summary of the month's deep-dive posts.
A collection of interesting engineering projects and AI tools I've found.
Recommended reads.
All article resources including code snippets, diagrams (as code), and LaTeX are publicly available at: https://github.com/kannandreams/when-engineers-meet-ai
Join Our Community
When Engineers meet AI publishes regular in-depth articles, implementation guide, deep dives, tutorials as defined in the roadmap. Subscribe to receive our posts directly in your inbox and join a community of forward-thinking technologists, engineers, learners, and leaders navigating this transformative space.
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