The latest articles on DEV Community by Aneesh Lade (@aneesh_lade_2605). https://dev.to/aneesh_lade_2605 https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3942641%2F585bb14e-7330-4476-a135-08dd4d240afe.jpeg https://dev.to/aneesh_lade_2605 en Aneesh Lade Wed, 20 May 2026 16:28:34 +0000 https://dev.to/aneesh_lade_2605/hello-world-ob4 https://dev.to/aneesh_lade_2605/hello-world-ob4 <p>Hey everyone, I'm Aneesh. </p> <p>Today, I’m launching this developer log as a personal accountability challenge. From this week onward, I am committing to publishing <strong>at least one technical post every single week</strong> (and more than that if I run into breakthroughs or major roadblocks worth sharing). </p> <p>My goal is to document the raw, unfiltered engineering journey, the bugs, the design choices, the math derivations, and the late-night simulation wins.</p> <h2> What I'm Building: Kaggle Orbit Wars </h2> <p>Right now, my primary focus is the <strong>Kaggle Orbit Wars</strong> simulation challenge. It's a brutal 2D real-time strategy environment where you have to conquer rotating planets, navigate gravitational paths around a central sun, and optimize fleet trajectories. With about a month left until the final submission deadline in June, I am aggressively iterating on my agent's state estimation and decision-making logic.</p> <h2> What I'm Learning: UC Berkeley's CS 285 </h2> <p>To back up my practical work with deep theoretical foundations, I am currently working through <strong>UC Berkeley's CS 285 (Deep Reinforcement Learning)</strong> course. Shifting from hard-coded heuristics to understanding advanced policy gradients, Q-learning value functions, and model-based RL is completely reshaping how I think about designing autonomous agents.</p> <h2> Why I'm Doing This </h2> <p>I'm skipping the corporate noise of traditional social media. This space is going to be my open-source lab notebook. If you are also grinding through Orbit Wars, studying RL, or building autonomous systems, follow along or drop a comment—let's build together.</p> <p>See you next week for the first deep-dive update!</p> devjournal learning productivity softwaredevelopment