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Culpeper, Virginia, United States
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532 followers
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Mark Manley shared thisJust finished the course “Advanced TypeScript Concepts” by Maaike van Putten! Check it out: https://lnkd.in/e67gkT-U #webdevelopment #frontenddevelopment #typescript.
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Mark Manley liked thisMark Manley liked thisGemini is built into Android Studio. If you never got around to building a native Mobile App... never been a better time.
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Mark Manley liked thisMark Manley liked thisThis is just small glimpse of what ADHD (Audit Driven Hyper Development) looks like: A Design AI agent pushes a change to a mobile header component that is shared across all the routes of the router, which gets tested as part of push hook. We treat accessibility like golf courses we aim for 0 issues, not high 90% compliant. This is incredibly easy to catch, and we fail each route on the first violation found it keeps the context low, and audits lightning fast. 📊 Accessibility Test Summary: ================================ ❌ / FAIL (1 violations) ❌ /intake FAIL (1 violations) ❌ /phrases FAIL (1 violations) ❌ /translation FAIL (1 violations) ❌ /record FAIL (1 violations) ❌ /conversations FAIL (1 violations) ❌ /settings FAIL (1 violations) 🎯 Results: 0/7 routes passed accessibility tests 💥 Some accessibility tests failed. Please fix violations before deployment. Agent didn't account for green text color being compliant in both dark and light. This is incredibly easy to fix. Remediation agent sees the report all flagging the same shared component, sees that it fails in one theme and updates the tailwind color for said theme. This worked before agents, regular human developers of all levels, regardless of whether they were in accessibility compliance journey or no matter if they cared, you could hold them accountable, prevent them from contributing accessibility missteps and more importantly give them the information needed to resolve it. Tests rerun: 📊 Accessibility Test Summary: ================================ ✅ / PASS (0 violations) ✅ /intake PASS (0 violations) ✅ /phrases PASS (0 violations) ✅ /translation PASS (0 violations) ❌ /record FAIL (1 violations) ❌ /conversations FAIL (1 violations) ❌ /settings FAIL (1 violations) What might these three failures have in common? Remediation agent on the case and will tackle this if authorized pass on the detailed report since tackling one failure at a time per route (could be different errors but never more than one per route, because axe-core config always executes the rulesets in the same order, if they share a failure it will regularly addressed in one swoop, micro tasks or commits but addressed efficiently. If you are in search of someone to do a virtual workshop of how you can set this up in day at scale. I know a guy.
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Mark Manley liked thisMark Manley liked this𝗔𝗿𝗲 𝘆𝗼𝘂 𝘀𝘁𝗮𝗿𝗶𝗻𝗴 𝗶𝗻 𝗮𝘄𝗲 𝗮𝘁 𝘁𝗵𝗲 𝘀𝗲𝗮𝗺𝗹𝗲𝘀𝘀 𝗽𝗮𝗿𝗮𝗹𝗹𝗮𝘅 𝗼𝗳 𝘀𝗶𝘁𝗲𝘀 𝗹𝗶𝗸𝗲 𝗔𝗱𝗮𝗹𝗶𝗻𝗲 𝗔𝗜, 𝘄𝗶𝘀𝗵𝗶𝗻𝗴 𝘆𝗼𝘂 𝗰𝗼𝘂𝗹𝗱 𝗱𝗶𝘀𝘀𝗲𝗰𝘁 𝘁𝗵𝗲𝗶𝗿 𝗺𝗮𝗴𝗶𝗰 𝗮𝗻𝗱 𝗹𝗲𝗮𝗿𝗻 𝗵𝗼𝘄 𝘁𝗵𝗲𝘆 𝘄𝗼𝗿𝗸? 🤯 We've all been there – trying to "Save As..." a complete webpage only to end up with a tangled mess that doesn't quite capture the dynamic loading and intricate network of modern single-page applications. Forget those days of easily grabbing all the assets in a neat folder! 😩 The secret to understanding these performant, lazy-loading wonders lies in a tool you might not know well: .har files! 🕵️♀️ Think of .har files as a detailed blueprint of every request your browser makes while loading a webpage. They capture the dance of assets, scripts, and data that makes those smooth parallax effects and on-demand loading possible. 𝗪𝗵𝘆 𝘀𝗵𝗼𝘂𝗹𝗱 𝘆𝗼𝘂 𝗰𝗮𝗿𝗲? • 𝗨𝗻𝗹𝗼𝗰𝗸 𝘁𝗵𝗲 𝗦𝗲𝗰𝗿𝗲𝘁𝘀: See exactly when and how assets are loaded, revealing the techniques behind lazy loading and dynamic content delivery. • 𝗟𝗲𝘃𝗲𝗹 𝗨𝗽 𝗬𝗼𝘂𝗿 𝗦𝗸𝗶𝗹𝗹𝘀: By understanding the network activity, you'll gain invaluable insights into optimizing your own web projects for performance. • 𝗣𝗼𝗿𝘁𝗳𝗼𝗹𝗶𝗼 𝗣𝗼𝘄𝗲𝗿-𝗨𝗽: Imagine showcasing your ability to analyze and understand the architecture of cutting-edge websites! Don't give up. Learning these new techniques is possible. Shockwave Flash was killed long ago. With tools that give you everything you need you can recreate with AI agents on GitHub to put the pieces back together if you have all the pieces, you can put it together, and you can ask questions for what you don't understand and AI will explain it to you. I break down how to generate and explore .har files, opening up a whole new world of learning and inspiration for your own projects. Let's make mastering modern web development less... HARD. 💪 Check the link in comments to see the type of website I am trying to teach you how to demystify, so you can level up your own portfolio. #𝘄𝗲𝗯𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 #𝗽𝗮𝗿𝗮𝗹𝗹𝗮𝘅 #𝗹𝗮𝘇𝘆𝗹𝗼𝗮𝗱𝗶𝗻𝗴 #𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲𝗺𝗮𝘁𝘁𝗲𝗿𝘀 #𝗹𝗲𝗮𝗿𝗻𝗮𝗻𝗱𝗴𝗿𝗼𝘄 #𝗵𝗮𝗿𝗳𝗶𝗹𝗲𝘀 #𝗮𝗱𝗮𝗹𝗶𝗻𝗲𝗮𝗶 #𝘄𝗲𝗯𝗱𝗲𝘃𝘁𝗼𝗼𝗹𝘀Unmasking Web Performance with .har FilesUnmasking Web Performance with .har Files🫂Anthony Delorie
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Mark Manley liked thisMark Manley liked thisCreated a tailwind css converter that improved upon the shortcomings of the existing css to tailwind converters. 1. Python Script that scrapes Tailwind docs so has the latest and up to date. 2. Doesn't cheat... or lazy, so tailwind allows you to just put css in [ ] brackets 3. Show preferred best practices, which you can see comparing the links Still a work in progress but can do a side-by-side comparison already to see where it matches against the existing. links in the comments
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Coding agents are fast. But without real context, a lot of the code they generate is unmergeable. Wrong props, bogus states, subtle regressions—the usual AI slop. Storybook MCP fixes that. It turns your stories, docs, and tests into machine-readable context so agents can actually follow your patterns. Benchmarks show this produces higher-quality code 3× faster with 50% fewer tokens. And when agents get things wrong, MCP gives them a self-healing loop. They can run your interaction + accessibility tests, see what fails, and fix their own bugs before you ever open a PR. We’re assembling a group for Early Access to help shape MCP before launch. 👉 Want in? Request access here: https://hubs.li/Q03TCY9Y0
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If you’re a US startup hiring mobile this quarter: screen for release ownership, not Flutter trivia. Senior candidates don’t separate “engineering” from “shipping.” They own releases, hotfixes, and the messy production stuff that actually matters. One question that works: “Tell me about a release that went sideways. What broke, how did you diagnose it, and what did you change so it wouldn’t happen again?” The answer tells you if they’ve actually owned production when it broke.
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Steve Krenzel
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For years, we treated "good code" as optional. Tests? Nah, I have to ship. Types? I know what I'm doing. Docs? It's all in my head. It is counterintuitive, but agentic coding forces us to pay the "best practice tax" we've all been dodging for decades. It is now the most valuable debt your eng org can pay off. I write about some of the non-obvious things we do in our codebase to give agents superpowers, in today's Bits post (link in comments)
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Charles River Analytics
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JT Pontet
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Sharing a project I’ve been working on recently; a coding task tool to help companies hire software engineers faster. It's called: Task45.com As a recruiter of software engineers, I see the time it takes for companies to build and review coding tasks. A few days to send it out, a few more to find time to review and boom, the candidate has gone. With AI gaining trust, now might be the time to find a better way... Enter Task45 💥 With just a prompt (or a job description), Task45 will build out a coding task for you to share with engineers. As soon as the task is complete, it will review it instantly. Key benefits; -45 min duration (to increase submission rates) -AI-pair programming (for guidance and collaboration) -Cheat-detection capability (for honest submissions) -Immediate AI scoring (so you can act fast) -Human override options (for training the model) It’s ready to use today. Who's it for? -Recruiters -Non-technical founders -Time poor engineering teams If you think this could help shorten your hiring cycles, head to www.task45.com and give it a try! All feedback welcome!
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Censys
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Gregory Raiz
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AI coding agents aren't just for coding anymore and if you're not paying attention you could be sleeping on one of the biggest shifts in personal productivity. I've been running Claude Code as my personal chief of staff. Not writing code. Managing my day. It schedules meetings. Prioritizes my tasks. Reviews Slack, Discord, and WhatsApp messages and surfaces what actually matters. It checks my calendar for conflicts, preps me for calls, and handles the operational overhead that used to eat my time. The shift isn't from to-do lists to better to-do lists. It's from to-do to to-done. The command line can seem intimidating but it's just a prompt, a place to type. What's different is that it can make tools on your behalf and then use them. - I wanted to transcribe a zoom call. Tool created. Done. - I wanted to update my website with notes. MCP installed.Done. - I wanted to get contact info from my CRM and airtable. Tool created. Done. Founders: the same agentic tools you're using to ship code can run your calendar, triage your inbox, and coordinate across the dozen communication channels you're drowning in. The early adopters aren't just coding faster. They're operating faster. What are you using AI agents for beyond code?
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freeCodeCamp
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If you're a dev who's searching for a job, you may want to have your own professional email account. And the good news is - there's a way you can do it for free. In this guide, San shows you how to set up a custom email with Cloudflare and Mailgun. https://lnkd.in/geAm_F2u
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Mattias Ask
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I've been quiet on LinkedIn while we reimagined how Squidler works. Here's what we realized: Your coding agent knows what you wanted to build. It has the full code and context for every feature you prompted and every user story you described. But it not great att verifying, especially not at runtime. It's not design to run your app, or reason around it, as a user would. Cursor, Lovable, Claude Code, Replit and the rest, have made the Build phase magical. The amazing teams behind these products have pushed Building further and faster than I ever expected. But Building and Verifying are different jobs. This is why we redesign the navigation and interface of Squidler to close the loop between the two. Now, your coding agent can use our MCP integration to describe user goals, based on what it implemented, in the same language your agent already thinks in. Squidler then executes them, as a user in a browser, and answers three core questions: * Does it work? i.e. can users actually achieve their goals? * Is it broken? i.e. does it pass our rule based runtime validation? * Is it easy? i.e. was is intuitive or hard to achieve the goals? Goal-driven. Runtime-verified. Your agent knows what you wanted, and with Squidler you can now check that you got it. Check the comments for demo and a link to try it.
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Bradford Church
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How to 2x your eng team output w/ coding agents: make an overnight "Accelerated Task Pipeline." 1. Set up a coding agent in the cloud w/ access to your repos ✅ (We use our own Coworker.ai agent called Cloud Merlin, but use whatever you prefer.) 2. Every JIRA ticket that's categorized as "Accelerated" -- i.e. bugs or task-sized features -- automatically gets fed to cloud agent ✅ (KEY NOTE: the relative cost of trying to "fix" or "build" something w/ AI is so low, we don't check the validity of the report until AFTER the AI comes up with an attempted solution overnight. Think of this as a sort of async processing for organizations, optimizing for speed.) 3. Rotating daily engineer reviews (3a) quality of bug report/feature requirements (before reviewing code). If not good enough, kill draft PR and send back to reporter (3b) if requirements (basically the "prompt" in this case) are good enough, review the code itself and go through all security/privacy checks etc. ✅ 4. Ship it in that day's release ✅ The onus of "thinking through" a bug or minor feature shifts from an individual engineer -> ops+product+AI. Massively cuts total time spent investigating and speeds up feedback loop from customers/ops -> product. Goodluck
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Dan Johnson
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Ali Taghikhani
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ATTENTION Aspiring software engineers, if you’re enrolled in any coding bootcamp, withdraw RIGHT NOW. This isn’t 2014 anymore where demand far exceeded supply and companies were desperate to hire. You will not get a decent paying job in 2025 and beyond if you’re getting into a bootcamp now. The market is very competitive, and unless you pursued a CS degree (at a reputable school) after high school, you waste a lot of time and resources trying to ‘make it’.
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