Actions have consequences. We’re constantly making trade-offs. In coding, every decision carries weight, what to prioritize, what to optimize, what to let go of. The outcome is always a reflection of those choices. ⏱️ Practice time today: 1 hour, 30 minutes 📊 Total coding hours so far: 182 hours, 30 minutes #365DaysOfCode Challenge — Day 96 #365DaysOfCode #Day96 #BackendDeveloper #FullStackJourney #LearningInPublic #TechMom
Coding Consequences and Trade-Offs: Day 96 of 365
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Today’s learning went beyond writing code. I spent time reading about logic, the importance of securing my code, and an interview that exposed the real consequences of an unsecured system. It was a reminder that building functionality isn’t enough, what you build must also be protected. ⏱️ Practice time today: 1 hour, 30 minutes 📊 Total coding hours so far: 199 hours, 30 minutes #365DaysOfCode Challenge — Day 106 #365DaysOfCode #Day106 #BackendDeveloper #FullStackJourney #LearningInPublic #TechMom
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After mastering the fundamentals in your #100DaysOfCode challenge, the next step is building practical applications. This video offers valuable project ideas to guide your coding journey further. Watch here: https://lnkd.in/dM6TdAY8
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The Era of Vibe Coding: Why Syntax is No Longer the Barrier Claude Code isn't just another CLI tool; it’s the catalyst for the "Vibe Coding" revolution. We are shifting from a world where engineers spend 80% of their time debugging syntax to one where they spend 100% of their time architecting intent. The data supports this shift toward radical accessibility: 70% of high-performing engineering teams now utilize AI-assisted coding to bridge the talent gap. #VibeCoding #ClaudeCode #SoftwareEngineering #FutureOfWork #TechEquity
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🌟 Coding doesn’t have to feel overwhelming. Join us this Saturday for a focused, hands-on session built to help you connect the dots and code with confidence. 💡 You’ll walk away with practical skills you can actually use. 🔗 Register here: https://lnkd.in/gH6S7Pzn
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Remove odd nos. from the queue Sounds a very simple problem to solve? I also thought so. But, when I started coding I did discover there is a tricky part to take care wrt queue. Can you figure it out? If not, I have solved it. Link in Comment.
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Day 13 of LeetCode 💻🔥 Today’s problem: Best Time to Buy and Sell Stock At first glance, it felt like a simple buy-sell problem… But the real challenge? 👉 Thinking efficiently 💡 Instead of checking every possible pair (brute force ❌), I learned to track the minimum price so far and calculate profit on the go ✅ That small shift in thinking turned an O(n²) problem into O(n) 🚀 📊 Key Insight: Always think in terms of optimization + patterns, not just solutions 🧠 What I learned today: Consistency is not about solving hard problems… It’s about improving your thinking process every single day Slowly getting better 💪 #LeetCode #DSA #ProblemSolving #CodingJourney #100DaysOfCode #Learning #Consistency
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400 down, many more to go. 📈 Reaching 400 problems on LeetCode has taught me that software engineering isn't just about writing code—it’s about how you approach a problem when you don't initially know the answer. The stats: ✅ 400 Total Solved ✅ 60.2% Acceptance Rate ✅ Beating 98.5% in consistency/speed The biggest takeaway? Discipline beats motivation every single time. #SoftwareDeveloper #TechMilestones #LeetCode #CodingCommunity #GrowthMindset
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Building the Future of coding, OpenCode with Dax Raad NeetCode 1.07M subscribersJoin Building the Future of coding, OpenCode with Dax Raad NeetCode 1.07M subscribersJoin Building the Future of coding, OpenCode with Dax Raad https://lnkd.in/g2ZUXhwD
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I Hated Every Coding Agent, So I Built My Own — Mario Zechner (Pi) Game development veteran, creator of libGDX, and 17-year open-source contributor Mario Zechner tells the story of how he ended up building pi, his own minimal, opinionated terminal coding agent. It started in April 2025 when Peter Steinberger and Armin Ronacher (Flask, Sentry) dragged him into an overnight AI hackathon. Within weeks, Mario was hooked on Claude Code — until he wasn't. There was feature bloat, hidden context injection that changed daily, the infamous terminal flicker, and zero extensibility for power users. He then surveyed the alternatives — Codex CLI, Amp, OpenCode... Eventually, he came across Terminus — an agent that gives the model nothing but a tmux session and raw keystrokes. If that's enough for the model to perform, what are all those extra features actually doing? Mario's thesis: we're still in the "messing around and finding out" stage, and coding agents need to become more malleable so developers can experiment faster. Pi is his answer: four tools (read, write, edit, bash), the shortest system prompt of any major agent, tree-structured sessions, full cost tracking, hot-reloading TypeScript extensions, and nothing injected behind your back. No MCP, no sub-agents, no plan mode — but all of it buildable in minutes through extensions. The community has already shipped pi-annotate (visual frontend feedback), pi-messenger (a multi-agent chatroom), and someone even got Doom running. On TerminalBench, pi with Claude Opus 4.5 landed right behind Terminus — before it even had compaction. 🔗 All full LINKS & RESOURCES under the video in option more🤔 pi coding agent: https://pi.dev Mario Zechner: https://mariozechner.at Peter Steinberger / OpenClaw: https://github.com/ste... Armin Ronacher: https://lucumr.pocoo.org Claude Code: https://docs.anthropic... Aider: https://aider.chat OpenCode: https://github.com/ant... Amp (Sourcegraph): https://sourcegraph.co... TerminalBench: https://terminalbench.com Ghostty: https://ghostty.org Vouch: https://github.com/mit... libGDX: https://libgdx.com AI Engineer London is a community meetup for engineers and founders building with AI, covering everything from agent frameworks and RAG pipelines to LLMs in production. Each event features technical talks, live demos, and hands-on networking. This talk was recorded at AI Engineer London #10, hosted by Tessl, in collaboration with AI Engineer London. https://lnkd.in/ghB6QCJZ
I Hated Every Coding Agent, So I Built My Own — Mario Zechner (Pi)
https://www.youtube.com/
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Some days in coding are not about building something big — they’re about finding that one small bug that takes hours to fix. You go through frustration, confusion, and countless attempts. But in that process, you end up learning more than you expected — new concepts, better approaches, and fresh ideas. And then comes the moment… when the code finally works. That output on the screen brings a different kind of satisfaction — a calm mind and a genuine smile. It reminds you that every small struggle is part of a bigger journey. 💻✨ #CodingJourney #Debugging #LearningEveryday #DeveloperLife #ProblemSolving
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