Muhammad Rehan’s Post

Most developers use Claude Code daily — but rarely think about what's happening under the hood. This is a solid system design breakdown of Claude Code as an AI coding agent: → How it perceives context (your codebase, terminal, files) → How it plans and executes multi-step tasks → The feedback loops that make it feel "intelligent" → Where it can fail — and why Worth a watch if you're working with AI tools or building agent systems. Link in comments👇 #AIEngineering #SystemDesign #ClaudeCode #SoftwareArchitecture #AIAgents

𝐂𝐨𝐝𝐢𝐧𝐠 𝐢𝐬 𝐞𝐯𝐨𝐥𝐯𝐢𝐧𝐠. 𝐀𝐫𝐞 𝐲𝐨𝐮 𝐞𝐯𝐨𝐥𝐯𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐢𝐭? 💡 With AI handling more of the heavy lifting in implementation and testing, the "Value Pyramid" for programmers has shifted upward. While syntax remains the language we speak, the real impact now happens at the top: 🔹 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲: Aligning tech with product goals. 🔹 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞: Building scalable, resilient systems. 🔹 𝐋𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩: Guiding both human teams and AI workflows. 𝐓𝐡𝐞 𝐠𝐨𝐚𝐥 𝐢𝐬𝐧'𝐭 𝐣𝐮𝐬𝐭 𝐭𝐨 𝐜𝐨𝐝𝐞 𝐟𝐚𝐬𝐭𝐞𝐫, 𝐛𝐮𝐭 𝐭𝐨 𝐛𝐮𝐢𝐥𝐝 𝐛𝐞𝐭𝐭𝐞𝐫. 🔗Check out our latest breakdown of the 2026 coding landscape: https://lnkd.in/dKk5sErU #AIEngineering #SystemArchitecture #CareerGrowth #BigBlueDataAcademy #FutureOfCoding

“𝐀𝐈 𝐢𝐬 𝐨𝐧𝐥𝐲 𝐚𝐬 𝐬𝐡𝐚𝐫𝐩 𝐚𝐬 𝐭𝐡𝐞 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 𝐮𝐬𝐢𝐧𝐠 𝐢𝐭.” That line keeps coming back to me lately. 💡 I came across an honest piece by Xavier Womack on how AI coding assistants, as powerful as they are, can quietly erode the very habits that make a developer good. It resonated deeply. Here's what stood out: • Read every line the AI generates. Don't just run it, understand it. • Debug from first principles. The stack trace is yours to read, not paste. • Build something from scratch regularly. No Copilot, no autocomplete safety net. • Own your architecture decisions. AI can suggest, but you should be able to defend every choice. • Rubber-duck the output. If you can't explain it out loud, you don't own it yet. The calculator analogy hit hardest. A calculator is powerful in the hands of someone who understands math. In the hands of someone who skipped learning it entirely, it just hides the gaps. AI is the same. Use it to go faster on things you already understand. Not as a shortcut around understanding them in the first place. The engineers who will matter long-term aren't the ones who prompt the best. They're the ones with the gut instinct to catch what the AI missed, the architectural judgment to make real decisions, and the discipline to keep their fundamentals sharp. Use AI as a tool, not a crutch. 🔗 Full read: https://lnkd.in/du_hYXDW #SoftwareEngineering #AITools #DeveloperMindset #ContinuousLearning #CleanCode #TechLeadership

The new way of working with AI isn't about coding. It's about steering. One of the most underrated Claude Code tricks: you're not a passenger in the session. You're the pilot. Claude starts going down the wrong path? Hit Esc. Stop it mid-action before it compounds the mistake. Then type # — this drops a memory directly into your CLAUDE.md, permanently updating what Claude knows about your project. Combine both and you've just closed a feedback loop: Esc → stop the wrong action # → teach Claude the right one Continue → never see that mistake again The screenshot shows exactly this in practice. Claude tried to read vitest.config.ts. File doesn't exist. Instead of letting it spiral, interrupt, drop a memory: "vitest config is in vitest.config.mts" — done. That correction now lives in the project context for every future session. This is what steering looks like. Not prompting better. Not rephrasing. Actively shaping how your AI agent understands your codebase over time. Your CLAUDE.md is a living document. Treat it like one. #ClaudeCode #AIEngineering #DeveloperProductivity #Anthropic #AgenticAI #AIWorkflows #BuildingWithAI #DevTools

Green pipeline. Every gate passed. You ship. Three months later, you’re in a war room. In Part 2 of the AI Coding Reality Series, Roger Ruttimann (Engineering Leadership, ReWeaver AI breaks down the 7 gaps between AI-generated code and production-ready software — including one no automated tool can catch. Read the full article: https://lnkd.in/g_r-jMJs #AI #SoftwareEngineering #EngineeringLeadership #AIDev #vibecoding #productionready

Vibe coding is fast, but fast doesn’t always mean right. It save hours in generation, then lose days in correction loops, patch-on-patch fixes, and architecture drift. The real productivity gain comes when AI speed is guided by clear specs, boundaries, and review checkpoints. Have you seen AI code create more rework than speed? #VibeCoding #AIEngineering #AndroidArchitecture #DeveloperProductivity #TechLeadership #SoftwareQuality

Stop memorizing syntax and start understanding logic! At First Bit Solutions, we dive deep into Memory Diagrams because once you understand the why, the how becomes second nature. In a world where AI can write your syntax, your ability to understand the code’s flow is what makes you an expert. #CodingTips #MemoryDiagrams #ProgrammingLogic #CodeFlow

We can't get the most out of our Anthropic Claude Licenses - $20/month or $100/month, unless we start creating "thinking" and "self Improving" systems. The real power of tools like Claude Code lies in building structured loops: Input → Reasoning → Execution → Feedback → Memory that turn AI from a tool into a self-improving engine. The future of vibe coding isn’t faster software generation, it’s orchestrating intelligence at scale. #AI #AIArchitecture #AIDevelopment #Claude #ClaudeCode #SystemDesign #FutureOfWork #AIEngineering #Innovation

Vibe coding is shifting software development from writing syntax to directing intelligence.   Now imagine combining that with Mythos-level capabilities:   → Smarter reasoning → Autonomous debugging → End-to-end feature building   This isn’t just faster development. It’s a fundamental shift in how products get built.   We’re not just coding anymore. We’re orchestrating AI.   The future belongs to those who can guide it.   #AI #VibeCoding #Mythos #SoftwareDevelopment #AITrends #FutureOfWork

Yesterday I spent some time exploring the Claude Code leak, more out of curiosity about its architecture than anything else. While going through the codebase, I came across something that wasn’t part of the public release, but clearly already built and gated behind internal flags.. A feature called KAIROS. At first, it didn’t seem like a big deal. But the more I read, the more it became clear that this isn’t just another feature, it’s a shift in how AI systems are designed to operate. KAIROS is built to be always-on. Instead of waiting for prompts, it runs on a recurring “heartbeat,” periodically asking itself whether there’s anything worth doing in the current context. It observes what’s happening across your project and files, activity, changes and then makes a decision: take action, or stay silent. If it decides to act, it can fix errors, update files, execute tasks, even respond to changes, without being explicitly instructed or scheduled. At that point, it stops feeling like an assistant and starts to resemble something closer to a proactive teammate. What makes it even more interesting is that it comes with capabilities not exposed in the standard version, it can send push notifications to reach you directly, deliver files it generated without being asked, and monitor GitHub pull requests to react autonomously. There’s even a concept in the code called “AutoDream,” which appears to run during idle periods, organizing memory, consolidating what it learned, and improving how it makes decisions over time. In practice, this means the system doesn’t just stop when you close your laptop. It continues observing, deciding, and potentially acting in the background. What this suggests, at least to me, is that we’re starting to move beyond the prompting paradigm. Instead of AI systems that wait for instructions, we’re seeing the emergence of systems that take initiative, systems that participate. Whether this is simply a more advanced form of autonomous coding assistance, or an early step toward more general, persistent AI agents, is still up for debate. Personally, I think AGI is still quite far off, but developments like this feel like meaningful steps in that direction. Curious to hear how others interpret this. Are we looking at the natural evolution of developer tooling, or something more fundamental? #AI #ArtificialIntelligence #LLM #AutonomousAgents #SoftwareEngineering #FutureOfWork #Anthropic #Claude #Tech #AGI