At ProAutomated, we don't stop at JUST teaching technical skills. 🛑 Yes, our talented engineers can deliver technical excellence, but they can also... ✅ Carry a conversation ✅ Help you problem solve ✅ Provide deep-bench expertise that's project-specific
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Most Engineers are trapped in the skills loop: Learn → Work → Repeat While missing the leverage loop: Learn → Document → Share → Monetize The difference? Linear growth vs Exponential impact Your technical knowledge is trapped. It's time to build distribution for it: → Content systems → Digital products → Knowledge assets → Client networks Join 1,000+ engineers turning expertise into independence. ↓ https://lnkd.in/em5ukzEh
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Absolutely agree! Engineers have so much untapped potential beyond just their technical skills. By breaking out of the skills loop and focusing on creating distribution for their knowledge, they can unlock exponential opportunities. Sharing what you know isn’t just about teaching—it’s about creating value, building a personal brand, and opening new doors. It’s time we started thinking like creators, not just problem-solvers. Let’s turn that expertise into assets that work for us long-term! 🚀
Building AI-First Platforms & Distribution Engines | YouTuber (120K+ subs) | #1 Cloud Engineering Channel (Tech with Soleyman)
Most Engineers are trapped in the skills loop: Learn → Work → Repeat While missing the leverage loop: Learn → Document → Share → Monetize The difference? Linear growth vs Exponential impact Your technical knowledge is trapped. It's time to build distribution for it: → Content systems → Digital products → Knowledge assets → Client networks Join 1,000+ engineers turning expertise into independence. ↓ https://lnkd.in/em5ukzEh
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It's often said that setting and reflecting on goals improves your chance of achieving them. This week we ask: does that work in software engineering too? Researchers studied reflective goal setting in software teams and found that: - 84.5% of engineers reporting improved awareness of their behaviors and work patterns AND - 79.6% of engineers reported positive behavior changes that increased their productivity and well-being. Read more here: https://lnkd.in/eQhxJm7n
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Newest Article from our tech team Himanshu J! Revolutionizing Software Engineering: Unleashing the Power of Automation with pytest. Learn how cutting-edge technology is reshaping the landscape of software development. https://lnkd.in/gKEy5_TS
Tech Team Homeground | Notion
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✨🚀 Standardization, when balanced, is beneficial and not restrictive. It aids in training teams, improving documentation, optimizing toolchains, and more. Cost savings shouldn't be the sole focus, as the benefits of standardized technology often outweigh the costs. It's essential to avoid the fallacy of making everyone an expert, instead focusing on abstracting complex technologies like Kubernetes to reduce cognitive load for the team. 💻 Platform engineering emphasizes standardization and abstraction without removing context, allowing for the creation of "golden paths" tailored to specific teams and their needs.⚙💡 Want to know how this is possible? Find out how to get started with our one-week workshop: https://lnkd.in/dmH7W6TT https://lnkd.in/dKxPMjt3
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𝗛𝗲𝗿𝗼𝗶𝗰 𝗘𝗳𝗳𝗼𝗿𝘁𝘀 𝗔𝗿𝗲 𝗛𝗼𝗹𝗱𝗶𝗻𝗴 𝗬𝗼𝘂 𝗕𝗮𝗰𝗸 🧯 Your team rewards the engineers who pull all-nighters to fix last-minute bugs. 𝗕𝘂𝘁 𝗵𝗲𝗿𝗼𝗶𝗰𝘀 𝗱𝗼𝗻’𝘁 𝘀𝗰𝗮𝗹𝗲. Relying on heroic fixes signals broken systems that need real solutions. I want you to consider building systematic safeguards: reliable CI/CD pipelines, automated tests, continuous monitoring, etc. 𝗪𝗵𝗲𝗻 𝘀𝘁𝗮𝗯𝗹𝗲 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗿𝗲𝗽𝗹𝗮𝗰𝗲 𝗵𝗲𝗿𝗼𝗶𝗰𝘀, 𝘆𝗼𝘂𝗿 𝘁𝗲𝗮𝗺 𝗼𝗽𝗲𝗿𝗮𝘁𝗲𝘀 𝗮𝘁 𝗮 𝗰𝗮𝗹𝗺, 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗮𝗯𝗹𝗲 𝗽𝗮𝗰𝗲. Instead of burnout, you get long-term, repeatable success. Don’t solve one crisis, but prevent crises from happening in the first place. How has “hero culture” impacted your engineering team? What steps have you taken—or do you want to take—to break the cycle? Share your thoughts below.
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How can you build a metrics program that not only measures, but improves engineering performance? And what’s the right framework for your team? On April 30th or May 2nd, we’re hosting a workshop where you’ll learn how to build a metrics program that boosts your engineering efficiency. Successful implementation reduces cycle time by 47% on average, improves developer experience, and increases delivery predictability. You'll learn: – A step-by-step framework to develop your metrics program – Lessons from successful metrics + productivity programs – And you'll take home materials and tools to help you get started Join our Director of Product Ilan Rado and our Sr. Implementation Manager Sumithra Saravana Rajesh as they walk through how to get the software engineering insights you need. Register in the comments below 👇 #Metrics #EngineeringMetrics #SoftwareEngineering
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Choose wisely, be like Org B. ✅ Org A ❌ - Schedules synchronous sessions for engineers across the globe - Makes it mandatory for all to attend - Changes best practices on the fly and manually asks teams to follow the changes - Fails to establish an inner feedback loop - Fails to drive consistency Org B ✅ - Schedules Lunch and Learns on engineering best practices - Bakes the best practices in the Paved Golden Paths - Documents everything - Makes it a no-brainer for developers to do the right things using tools - Has a Software Catalog to track and communicate the changes required - Consistently keeps the fleet in control and aligned.
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Check out this post (and course) created by Jenn Iwerks, one of the attendees inspired by my #DevLearn2024 session! I love seeing what attendees take away from sessions I host and how they apply it to their working lives and the challenges they encounter. If you are looking for additional resources, I cannot recommend highly enough "Measurement and Evaluation on a Shoestring" by Dr. Alaina Szlachta - I picked up my copy at DevLearn before it was even published, but it is now available here: https://lnkd.in/gVZxf5G3 #LearningAndDevelopment #MeasuringProgramSuccess #LearningROI
“But how do you know it worked?” Measuring program success is a huge conversation for folks in L&D. You go through all the effort to create and run a development program, and then someone has to ask you if it was successful. Completion and attendance rates are one thing, but how do they hold up to your C-suite? At DevLearn this year, I attended an insightful conversation with DJ Jaeger from Akamai Technologies on Data Collection and Business Impact. I was inspired to create a quick microlearning series on this challenge, and I’ll be sharing it over the next few days. The first course (linked in the comments) is about how to determine WHAT measurement matters. Check it out and let me know what you think!
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Thinking about automating? Hold up 🚨 Before you speed up the chaos, let's take a step back. First, you need to question everything you know about your processes. Automating a mess? That’s just a faster mess. Let’s get it right first 🤘
New year, New Failed Automation Initiative? 🤡 Before you dive headfirst into automating every process under the sun, do yourself a favor - figure out what those processes actually are. 3 questions to ask yourself: ⚡️ Do I know what my interns are doing? ⚡️ Am I just speeding up broken processses? ⚡️ When was the last time anyone questioned how this process works? If the answers are “No idea. Probably. Years ago”, you’ve got bigger problems than manual processes.
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