DevSwarm’s Post

Today ChatGPT went down for 90 minutes. Over 8,700 outage reports in the UK alone. Developers couldn’t work. That’s the real story behind the AI coding tool debate. Everyone’s choosing sides: IDE tools like Cursor and GitHub Copilot (you see the code, you stay in control) vs. no-code platforms like Replit, Bolt, and Lovable (fast to ship, zero visibility into what’s actually running). Claude Code sits in the middle — terminal-based. You’re not locked inside an IDE, but you’re not locked out of your codebase either. Agentic enough to run multi-step tasks autonomously. Transparent enough that an engineer stays in the loop. That’s not a compromise. It’s a deliberate design choice — and why developers are increasingly obsessed with it (→ https://lnkd.in/ggs4Rh3S ). Stanford’s 2026 AI Index confirms AI is boosting software development productivity by 26% — but only when the human stays in the loop on judgment calls. Control matters. Pick your tools accordingly. #IWorkForDell #AIInfrastructure #ClaudeCode #DeveloperTools #GenerativeAI

Just came across this breakdown of 12 Claude Code features and honestly if you're an engineer not using these yet, you're leaving a lot on the table. The ones that got me: CLAUDE.md for project memory, Checkpoints for instant git rollbacks, and Subagents for spinning up parallel agents on complex tasks. That last one feels like the shift from AI assistant to actual collaborator. We're still early but the tooling is maturing fast. Which of these are you already using day to day? Drop it below. #AIEngineering #ClaudeAI #DeveloperTools #SoftwareEngineering #AITools #Productivity #Coding #BuildInPublic

🚀 I just built my own Claude Code from scratch. After weeks of reverse-engineering opencode, claude-code, and codex. I've created a fully functional AI terminal coding agent, natively in terminal in TypeScript. What it does: - File operations (read, write, edit, search) - Git integration (commits, PRs, issues) - Todo/Planner sub-agent - Persistent memory across sessions - Web search & fetch - Shell command execution - Human-in-the-loop approval (diff preview before edits) 🧠 Memory system - Persistent memory stored in: .agent/ - user[.]md - project[.]md • agent[.]md So the agent remembers: - project facts - user preferences - lessons learned Source code: https://lnkd.in/gAPH9PfB Next up: voice mode & token usage display 👀 #AI #Coding #TypeScript #OpenSource #LLM

Stop "Writing" Code. Start "Architecting" Solutions. 🚀 In 2026, the gap between a Senior Dev and a Junior Dev is narrowing—not because of skill, but because of Leverage. If you aren't using this stack, you're competing with one hand tied behind your back: ⚡ Cursor – The IDE that actually understands your whole repo. ⚡ GitHub Copilot – Your 24/7 pair programmer. ⚡ v0.dev – Prompting UI into existence in seconds. ⚡ Claude 3.5 – The gold standard for complex logic & debugging. The Reality Check: ⚠️ AI won’t replace you. But a developer who knows how to "prompt" a system architecture will replace the one who still insists on writing every line of boilerplate by hand. It’s not about who codes the fastest anymore. It’s about who builds the smartest. What’s the one AI tool you can’t live without right now? 👇 #SoftwareEngineering #AI #Coding #Productivity #100DaysOfCode #TechTrends

Most developers are still coding like it is 2015. They type every line, debug manually, and waste hours on boilerplate. You do not need more coffee; you need an AI-native workflow. The biggest upgrade is switching to an AI-first IDE. Here is my current setup for 2x output: 1. Cursor: The gold standard. It indexes your entire codebase to understand context. Use it to refactor entire files with one prompt. 2. Windsurf: The hidden gem. It has a Flow state where the AI acts as an autonomous agent that fixes terminal errors before you notice them. 3. Continue.dev: The open-source choice. Perfect for VS Code users who want custom AI models without the bloat. 4. Aider: The command-line heavy hitter. Ideal for terminal users to edit multiple files by simply describing the change. Stop treating your IDE as a glorified notepad. Start treating it as a pair programmer that never sleeps. Pick one, install it today, and see the difference by Friday.

Very True Anurag, The real shift isn’t AI‑assisted coding — it’s agentic, AI‑native IDEs that understand intent and act autonomously. Tools like Cursor, Windsurf, GitHub Copilot Workspace and Amazon Kiro are turning IDEs into context‑aware, always‑on pair programmers. Less typing. Less debugging. More flow. From writing code → orchestrating outcomes. From Human in the loop → Human on the loop Once your IDE works like an agent, there’s no going back 🚀

Most developers still switch contexts to push code, but Cursor IDE changes the entire workflow. Using AI agents as teammates means you can handle version control directly where you build. You can push code and create PRs without ever leaving your editor. This is what agentic coding looks like in practice. Less time managing git commands and more time shipping features. Try integrating this workflow into your next project to see how fast you can ship. #vibecoding #agenticcoding #aicoding #cursoride #shipfast

Debugging starts with the first line of code you write! I still remember how it felt reading the first logs of errors when I first started programming. It felt like dread. These red lines were haunting and for inexplicable reasons, they were very difficult to read. But the big change happened when I discovered that these were actually my friends. Errors are invisible — error messages and logs are there to help you find them (they are on your side). Unseen errors, on the other hand, are the worst! In this article, I'm going through the process of debugging: when and how it should start, and hopefully saving you from making the mistakes I once made. My goal is to make you a better builder — for all of us to be. Day by day, you will build a muscle and start developing a super spider-sense towards bugs and how to fix them :) Link to the article: https://lnkd.in/dCe2Kvr9

I’ve been working with #VibeCoding teams and founders over the last few months and unfortunatly this post summarizes what I’m seeing: Codebase dumpster fires. It dosen’t have to be that way. With good steering docs and guardrails, AI can and will write solid, maintainable code - but you have to use spec (or plan) mode. If you’re a non-technical team or founder and you’re vibe coding without guardrails or plan mode, I can point you in the right direction. Just drop me a line.