Learning C on CodeChef and Array Manipulation

Tip of the day: Want to give non-coding teammates a way to build internal tools without making them install anything locally? A customer asked for exactly that today. Lovable is great for websites, but the moment you need Python (or anything beyond the browser), things get tricky, and you don't have terminal access in most other vibe coding plaforms. Just saying: Let them use Diploi.

Every long Claude Code session ends the same way. /compact runs, summarizes blindly, and drops the context that mattered most. clamp-cc is a TUI that reads your session directly, lets you tag turns with single keys (PIN, ARCH, BUG, TASK, API, DROP), and generates a targeted /compact instruction from your selections. Auto-copied to clipboard, or fired directly into your Claude pane via tmux with tags persisting across sessions. Would appreciate feedback from anyone who uses Claude Code heavily! https://lnkd.in/dPMXwgGB #Claude #ClaudeCode #DeveloperTools #OpenSource #Python

Just created my new tool and named it "ZIGBACK" for obvious reasons. It's a small red-team style experiment: dynamically generating a Zig-based reverse shell via Python and compiling it in real time. Chose Zig specifically for its low-level control, minimal runtime footprint, and ability to produce lean, dependency-free binaries ,which makes it very useful when you want to precisely understand how detection engines react to specific behaviors. Tested it against default Windows Defender to observe detection behavior. With careful API usage and structure, it remained Undetected , highlighting how much detection still depends on patterns rather than intent. Currently it is the first release, will be updating with a few more features. More to come!! 🤖 #redteaming #redteamtool #defenderbypass

See beyond coverage percentages. Coco shows which untested code actually matters, giving teams clear, actionable insights. It works across Python, C/C++, QML, and embedded systems, merging results into a single view for faster, smarter testing. Check out how Coco helps teams focus effort, speed releases, and stay audit-ready: https://lnkd.in/ecDF68Sv

See beyond coverage percentages. Coco shows which untested code actually matters, giving teams clear, actionable insights. It works across Python, C/C++, QML, and embedded systems, merging results into a single view for faster, smarter testing. Check out how Coco helps teams focus effort, speed releases, and stay audit-ready: https://lnkd.in/dt62xnKm

Most LangChain apps should just be 40 lines of raw API calls. I've refactored three production LangChain projects this year. Every time, ripping out the framework cut latency, halved the debugging time, and made the code readable again. Chains, runnables, callback handlers - layers that exist to manage complexity they created. If your agent fits in one file, you don't need an orchestration framework. You need httpx and a system prompt. Tell me I'm wrong. #langchain #llm #python

See beyond coverage percentages. Coco shows which untested code actually matters, giving teams clear, actionable insights. It works across Python, C/C++, QML, and embedded systems, merging results into a single view for faster, smarter testing. Check out how Coco helps teams focus effort, speed releases, and stay audit-ready: https://lnkd.in/d5-9_HbT

See beyond coverage percentages. Coco shows which untested code actually matters, giving teams clear, actionable insights. It works across Python, C/C++, QML, and embedded systems, merging results into a single view for faster, smarter testing. Check out how Coco helps teams focus effort, speed releases, and stay audit-ready: https://lnkd.in/dcY-rcV9

See beyond coverage percentages. Coco shows which untested code actually matters, giving teams clear, actionable insights. It works across Python, C/C++, QML, and embedded systems, merging results into a single view for faster, smarter testing. Check out how Coco helps teams focus effort, speed releases, and stay audit-ready: https://lnkd.in/d8uZV-KJ

🚀 Week 1 — DSA + System Design 📚 DSA (C++ & Python): • Arrays, List, Tuple, Dictionary • Time & Space Complexity (all problems) • Solved 30+ problems 🏗️ System Design (LLD): • OOP concepts clarity • Better understanding of structure & design 💡 Realization: Now I don’t just code… I understand why and how things work. 🎯 Week 2 Goal: Make all of this STRONG 💪 Consistency is the game. #DSA #SystemDesign #BuildInPublic #LearningInPublic