The latest articles on DEV Community by akshvy (@akshvy). https://dev.to/akshvy https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F1962469%2F95fd5602-b029-48d4-9b5f-161e07fde90d.jpeg https://dev.to/akshvy en akshvy Fri, 02 Oct 2026 06:24:25 +0000 https://dev.to/akshvy/placementbuddy-cli-local-c-ai-placement-assistant-for-my-classmate-5ja https://dev.to/akshvy/placementbuddy-cli-local-c-ai-placement-assistant-for-my-classmate-5ja <p><em>This is a submission for the <a href="https://dev.to/challenges/hacktoberfest-weekend-2026-10-01">Hacktoberfest Weekend Challenge: Build for a Friend</a></em></p> <h2> What I Built &amp; Who It's For </h2> <p>I built <strong>PlacementBuddy CLI</strong> for my college friends preparing for campus placement drives and technical DSA interviews. </p> <p>Reviewing code with web AI tools means constant context switching, rate limits, and privacy concerns. <strong>PlacementBuddy CLI</strong> runs <strong>100% locally</strong> in the terminal using native C++17 and Ollama—giving classmates instant complexity analysis, edge-case checks, and practice questions with <strong>zero API costs</strong> and <strong>zero data leaks</strong>.</p> <h2> Why Native C++ &amp; Local Open-Source AI? </h2> <ul> <li> <strong>Native Speed:</strong> Built with C++17, <code>libcurl</code>, and <code>nlohmann/json</code> for minimal memory overhead and zero runtime lag.</li> <li> <strong>100% Private:</strong> Code and interview notes stay on the local machine (<code>http://localhost:11434</code>).</li> <li> <strong>Offline Execution:</strong> Once the model (<code>llama3.2</code> / <code>gemma</code>) is pulled, no active internet connection is required.</li> </ul> <h2> How It Works </h2> <div class="highlight js-code-highlight"> <pre class="highlight plaintext"><code>C++ Source File / Notes (.cpp / .txt) │ ▼ [ placement_buddy ] ──&gt; Parses args (dsa | quiz | explain) &amp; constructs payload │ ▼ [ libcurl Stream ] ──&gt; Sends async HTTP request to local Ollama daemon │ ▼ [ Terminal Output ] ──&gt; Streams colorized ANSI response line-by-line in real time </code></pre> </div> <p>📁 Repository: github.com/akshvy/placement-buddy-cpp</p> hf26challenge devchallenge weekendchallenge cpp