Speed still wins. And great developer tools age well. A 2016 deep dive comparing search tools is trending again on Hacker News, and the takeaway still feels very current: **ripgrep set a new bar for fast, practical code search**. Why this matters: - Developer velocity is often shaped by the smallest tools - Faster search means tighter feedback loops - Better defaults can quietly transform everyday workflows What made ripgrep stand out wasn’t just raw speed — it was the combination of: - smart defaults - recursive search - respect for `.gitignore` - strong performance on large codebases It’s a good reminder that engineering excellence doesn’t always look flashy. Sometimes it looks like a tool that helps developers find what they need instantly, thousands of times a day. As codebases keep growing, the value of fast, thoughtful tooling only increases. What’s one developer tool you use daily that still feels “magic” every time? #DeveloperTools #OpenSource #Productivity #SoftwareEngineering #DevEx #CommandLine #Programming #Engineering
Ripgrep Sets New Bar for Fast Code Search
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I was tired of this error ruining my dev flow: EADDRINUSE: address already in use Every time → Google → random commands → kill wrong process → repeat. So something better. 👉 portrm A simple command: ptrm 3000 And it just works. But then I went deeper. Existing tools like lsof, kill-port, fkill… they solve the surface problem. I wanted to solve the developer experience problem. So portrm became more than a “kill port” tool: ✅ Smart service identification (+ scoring) ✅ 3-tier safety guard (no accidental kills) ✅ Graceful SIGTERM (no data loss) ✅ Dev stack orchestration (ptrm up/down) ✅ Config-driven workflow (.toml) ✅ Interactive TUI ✅ CI/CD mode (ptrm ci) ✅ VS Code extension 📊 Built a comparison to stay honest: portrm: 8/10 fkill: 5.5/10 kill-port: 4/10 lsof: 3/10 Not perfect. But clearly pushing the space forward. 💡 Realization: Dev tools shouldn’t just “work” They should remove friction completely. If you’ve ever hit a port issue, try it If this saves you even 2 minutes, that’s already a win. Feedback welcome. Contributions open. #developers #softwaredevelopment #programming #webdevelopment #devtools #productivity #engineering #coding #opensource #github #python #nodejs #devexperience #buildinpublic #startup
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What’s the longest you’ve spent debugging a production issue that turned out to be a one-line fix? For me, it was a painstaking 4 hours. The culprit? A missing *await* in an async function. What made it worse was that the error didn’t manifest immediately—it surfaced six services downstream. This experience was a stark reminder of how seemingly small details can ripple through complex systems, causing major headaches. Debugging in production comes with its own set of challenges: - Limited visibility into the root cause - Pressure to resolve quickly - The fine balance between fixing fast and not introducing more issues Here’s what I’ve learned from moments like these: • Invest in robust logging and monitoring—it’s a lifesaver when you’re hunting for clues • Prioritize code reviews; an extra set of eyes can catch what you miss under time constraints • Take a deep breath and step back. Sometimes clarity surfaces when you pause and regroup The beauty of technology is that we’re always learning and improving, even when it’s frustrating in the moment. What about you? Do you have a memorable debugging story or a lesson learned from production challenges? Let’s share and learn from each other’s experiences. 🚀 #BuildInPublic #DevTools #OpenTelemetry
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One small change. That’s how it always starts. 😄 You open the codebase thinking: “I’ll just fix this quickly.” 30 minutes later: → You’ve touched 5 files → Renamed 3 variables → Refactored a method you didn’t plan to touch → And now something completely unrelated is broken Welcome to the hidden rule of software engineering: There is no such thing as a “small change.” The code you didn’t touch is somehow affected. The bug you didn’t expect is now your problem. And the fix you planned for 10 minutes becomes a 2-hour debugging session. But honestly, this is what makes the job interesting. Every “small change” teaches you how everything is connected. What’s the smallest change that turned into a full debugging adventure for you? 😄 #Developers #CodingLife #SoftwareEngineering #ProgrammerHumor #Debugging
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Claude Code has become a core part of my workflow. At this point, I can’t imagine implementing or debugging features without it. Even when I open an IDE like Cursor or Antigravity, I still end up using the Claude Code extension inside it. That said, recent rate limit changes are starting to hurt. I run multiple background tasks across projects, and long debugging sessions with detailed logs can burn through limits surprisingly fast. I’ve hit the cap in ~2–3 hours of heavy debugging, even on the Max plan. That forces you to think twice before running deeper iterations, which is not a great place to be as a developer. To work around this, I’ve started using Opencode for longer debugging sessions. It requires more manual control, but it’s been reliable enough for extended runs. Curious how others are dealing with this. Are you optimizing prompts, switching tools, or just absorbing the limits? #AgenticDevelopment #LLM #ClaudeCode #RateLimits #DevWorkflow #GenAI
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Claude Code offers a comprehensive toolkit with 16 sections that cover everything developers need. Many of us utilize only about 10% of Claude Code's capabilities. They are familiar with commands like /help and @file, but often overlook features such as Plan Mode, subagents, hooks, and the /rewind command, which can undo a half-broken refactor without resorting to git reset. To assist, I created a one-page cheatsheet that highlights the essential elements for production: - Install instructions, CLI flags, and all built-in slash commands - Keyboard shortcuts and the three modes: Normal, Auto-Accept, and Plan - Extended Thinking: managing think and ultrathink budgets - Checkpointing and /rewind, including the bash caveat that often confuses users - CLAUDE.md memory and .claude/settings.json permissions - Custom slash commands, Skills, Subagents, and Hooks - MCP servers, cost tracking, and model routing - Eight pro recipes that would have been beneficial from day one Save this cheatsheet and keep it handy next to your terminal. Share it with any developers on your team who are still typing prompts into the chat box. What’s your most-used Claude Code command? Feel free to share in the comments. #ClaudeCode #Anthropic #AICoding #DeveloperTools #DevTools #GenerativeAI #AgenticAI #LLM #AIEngineering #SoftwareEngineering #Coding #Productivity #MCP #ModelContextProtocol #BuildInPublic #Terminal #CLI #VSCode #GitHub #OpenSource #TechCommunity #AIAgents #PromptEngineering #ContextEngineering #FutureOfWork #CareerInTech #OnYourRank #LinkedInLearning #100DaysOfCode #CodingLife
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#DevNotesWithVishal – Day 3 One thing that significantly improved my development skills over time: 👉 Learning how to debug effectively. Early in my career, whenever something broke, my first instinct was to rewrite the code or try random fixes. It worked sometimes… but most of the time, it just wasted hours. Over time, I changed my approach. Here’s what actually helped me: Start with understanding the issue, not fixing it Instead of jumping to solutions, I now focus on reproducing the problem and understanding why it’s happening. Break the problem into smaller parts Rather than looking at the whole system, I isolate the issue step by step — frontend, API, or database. Logs are your best friend Adding proper logs (especially in backend flows) makes debugging much faster and clearer. Read error messages carefully Most of the time, the answer is already there — we just ignore it and start guessing. Avoid random changes Trial-and-error without direction only creates more confusion. A structured approach always saves time. Biggest takeaway: Good debugging is not about knowing all answers — it’s about asking the right questions. Debugging used to frustrate me. Now, it’s one of the most valuable skills I rely on daily. Curious to know — how do you usually approach debugging? #DevNotesWithVishal #Debugging #SoftwareEngineering #FullStackDeveloper #LearningInPublic
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From monoliths to microservices, we’ve spent years optimising systems for scalability and performance, but now the biggest gains are coming from how we write code itself. #AI #GenerativeAI #ClaudeAI #SoftwareEngineering #DeveloperProductivity #DevTools #Programming #Automation #AICoding #FutureOfWork
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𝐏𝐨𝐥𝐥𝐢𝐧𝐠 𝐢𝐬 𝐚 𝐋𝐨𝐨𝐩. 𝐖𝐞𝐛𝐡𝐨𝐨𝐤𝐬 𝐚𝐫𝐞 𝐚 𝐒𝐢𝐠𝐧𝐚𝐥. 𝐂𝐡𝐨𝐨𝐬𝐞 𝐖𝐢𝐬𝐞𝐥𝐲... 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰𝐞𝐫: How will your service get updates from a third-party system? 𝐂𝐚𝐧𝐝𝐢𝐝𝐚𝐭𝐞: I’ll use polling. Call API every 10 seconds. 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰𝐞𝐫: Why polling? Why not webhooks? 𝐂𝐚𝐧𝐝𝐢𝐝𝐚𝐭𝐞: Webhooks are faster, I guess… but polling is simpler. 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰𝐞𝐫: Assume scale is 10M users. 𝐂𝐚𝐧𝐝𝐢𝐝𝐚𝐭𝐞: Trapped… 𝐓𝐡𝐞 𝐑𝐞𝐚𝐥 𝐏𝐫𝐨𝐛𝐥𝐞𝐦 ?? 𝐍𝐨𝐭 𝐒𝐢𝐦𝐩𝐥𝐢𝐜𝐢𝐭𝐲, 𝐁𝐮𝐭 𝐂𝐨𝐬𝐭 & 𝐋𝐚𝐭𝐞𝐧𝐜𝐲... See, polling looks simple but behaves badly at scale :- Service → Dependency (every 10s) → Any update? Most of the time → No → Wasted compute → Wasted network → Increased latency (you’ll always be late by polling interval) 𝐀𝐭 𝐬𝐜𝐚𝐥𝐞, 𝐭𝐡𝐢𝐬 𝐛𝐞𝐜𝐨𝐦𝐞𝐬 𝐚 𝐬𝐢𝐥𝐞𝐧𝐭 𝐤𝐢𝐥𝐥𝐞𝐫 :- frequent polling → massive QPS… mostly empty responses 𝐖𝐡𝐞𝐫𝐞 𝐖𝐞𝐛𝐡𝐨𝐨𝐤𝐬 𝐖𝐢𝐧 ?? → Server calls you only when event happens → Zero unnecessary calls → Real-time updates → Better cost efficiency This is how payment gateways, trading systems, and notification systems work in production. 𝐁𝐮𝐭 𝐖𝐞𝐛𝐡𝐨𝐨𝐤𝐬 𝐀𝐫𝐞 𝐍𝐨𝐭 𝐅𝐫𝐞𝐞:- They introduce new problems → Your system must be publicly reachable → You must handle retries, idempotency → Events can arrive out of order 𝐏.𝐒 → Polling feels easy early, but at scale it becomes a tax you keep paying forever. #startup #coding #software #engineer #linkedin #programming
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𝐌𝐨𝐧𝐝𝐚𝐲 𝐃𝐞𝐛𝐮𝐠 𝐓𝐡𝐨𝐮𝐠𝐡𝐭 𝐌𝐨𝐬𝐭 𝐩𝐞𝐨𝐩𝐥𝐞 𝐭𝐡𝐢𝐧𝐤 𝐰𝐫𝐢𝐭𝐢𝐧𝐠 𝐜𝐨𝐝𝐞 𝐢𝐬 𝐡𝐚𝐫𝐝. 𝐈𝐭’𝐬 𝐧𝐨𝐭. Understanding why it breaks —> that’s the real skill. Bugs don’t waste time. Unstructured debugging does. When something fails, I don’t guess anymore. I follow a system: • Reproduce consistently • Narrow down the scope • Eliminate assumptions • Verify each layer (UI → Logic → API → Data) Because debugging isn’t about luck. . . . It’s about controlled thinking under uncertainty. Growth in tech doesn’t come from just building features… It comes from how you handle what’s not working. . . This week, don’t just code. Observe how you debug. That’s where your real edge is. #iOSDevelopment #Debugging #SoftwareEngineering #MobileDevelopment #TechMindset #ProblemSolving #DevelopersLife #EngineeringExcellence #CleanCode #LearnToCode
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🚨 WARNING: Only for those who speak YAML 🚨 Let’s be real: your feed is currently 90% "humbled and honored" announcements and 10% AI-generated sunsets. Time for a manual override. We're diving straight into the fire: Kubernetes and the dreaded kubectl apply. The screen below is a recreation of a standard Monday morning nightmare. It's a VS Code terminal. It's a failing Kubernetes deployment script. It's definitely not working. 🧩 The Terminal Puzzle 🧩 Your Mission, should you choose to accept it: Look closely at the image. There is a single, subtle, infuriating syntax error that is completely crashing this pod. - It might be a rogue space. - It might be a missing required field. - It might be the classic "one indent too many." We’ve kept it simple. We’ve kept it evil. 🏆 The Prize: The "Senior Logic" Badge 🏆 We’re not giving away laptops, but we are giving away something much more valuable: Ego-Boost Points™. The first person to drop the correct answer in the comments below, with a clear explanation of why it's the error, wins the "Senior Logic" badge. Prove your mastery before the coffee even kicks in. Let the games begin. Go. 👇 Brittan Reichley Zachary Walters Bryce Lennard Zak Kohler Drew Steinman, CPA #PlatformEngineering #Kubernetes #YAML #K8s #SeniorLogic #Debugging #CodingPuzzle #PlatformChallenge #DevOps #SRE #CloudNative
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