Your team is shipping code nobody fully understands. Some from coworkers. Some from contractors. A growing pile of it from AI that looked great in the diff and broke on the first edge case. The bug report still lands on your desk like you wrote the thing yourself. The instinct is to open the file and start reading until something makes sense. That approach is slow, expensive, and usually wrong. The real skill is resisting it. New post on how to actually debug code you didn't write, without reverse-engineering someone else's bad assumptions. https://lnkd.in/dXPfXh3x #JavaScript #debugging #softwaredevelopment

📌 #53 DailyLeetCodeDose Today's problem: 71. Simplify Path – 🟡 Medium These are the kinds of problems you'll most likely face. They aren't difficult, but they're quite practical. Such tasks don't require knowledge of sophisticated algorithms or complex data structures, yet they appear quite often in real-world development, so practicing them is definitely useful. https://lnkd.in/e7BpT3JP #DailyLeetCodeDose #LeetCode #JavaScript #Algorithms #ProblemSolving #Coding

Hype Fades, Fundamentals Don't After about a year in coding, here’s what I’ve noticed: There’s a lot of hype around AI, but not all of it translates into real value. Flashy templates often get more attention than solid, well-written code. Too many online “gurus” are selling shortcuts instead of real understanding. The focus is on shipping fast, not building things properly. Low-code is pushed heavily, even when it replaces learning the basics. What I’m focused on instead: JavaScript fundamentals (loops, functions, arrays, etc.) Working with Payload CMS Handling and verifying HTTP requests Managing server URLs (local vs production) Environment variables in Railway I’m not interested in shortcuts. I’d rather take the time to understand how things actually work and build a solid foundation that lasts. #webdevelopment #javascript #react #coding #cms #payload

 Shortest Path Algorithm — Explained Mathematically We often learn shortest path algorithms from a coding perspective. But what if we step back and understand them from a mathematical point of view? In today’s post, I’ve explained the shortest path algorithm in a slightly different way — through mathematical reasoning and structure. It’s a deeper, more conceptual approach that helps you truly understand *why* the algorithm works, not just how to implement it. If you enjoy digging beneath the surface and building strong theoretical foundations behind practical coding problems, this one is for you. 👇 Do you prefer understanding algorithms conceptually first, or jumping straight into code? Follow Muhammad Nouman for more useful content #learningoftheday #1000daysofcodingchallenge #FrontendDevelopment #WebDevelopment #JavaScript #React #Next #CodingCommunity #Algorithms #DataStructures #SystemDesign #ProblemSolving

AI is extremely powerful, when used as an assistant, not a replacement for thinking. when developers understand the fundamentals and guide ai properly, it significantly improves productivity and code quality.

Ever heard of function composition? It's like stacking functions together to create new ones! 🎉 Imagine transforming data in a seamless flow, just like a chain reaction. For instance, let's say you have an array of numbers and you want to double them and then add one. Instead of writing multiple loops, we can compose functions to simplify our code. Exciting, right? 😄 Have you ever used function composition in your projects? How did it change the way you write code? #JavaScript #Coding #FunctionComposition #WebDevelopment #ProgrammingTips

"5 Agent Skill design patterns every developer should know" Great new write-up https://lnkd.in/gW6uWMhB from Shubham Saboo and Lavi Nigam on our teams! After studying how agent skills are built across the ecosystem - from Anthropic's repos to Vercel and Google's internal guidelines - they identified five patterns that keep showing up in well-designed agents: 1. Tool wrapper - loads library-specific context on demand, so your agent doesn't carry conventions it doesn't need 2. Generator - enforces consistent document structure using templates + style guides, instead of hoping the model picks the same format twice 3. Reviewer - separates what to check from how to check it, making your rubric swappable without touching the skill logic 4. Inversion - flips the dynamic: the agent interviews you before building anything, refusing to synthesize until it has complete context 5. Pipeline - strict sequential workflow with hard checkpoints and gate conditions that prevent the agent from skipping steps The most useful insight: these patterns compose. A Pipeline can include a Reviewer at the end. A Generator can open with an Inversion phase. ADK's SkillToolset means your agent only loads what it actually needs at runtime. Stop cramming complex workflows into a single system prompt. Structure the content rather than just the format. If you would like to build smarter agents using your skills, check out the Google Agent Development Kit. It supports TypeScript, Python, Go and more. #ai #programming #softwareengineering

"5 Agent Skill design patterns every developer should know" Great new write-up https://lnkd.in/gW6uWMhB from Shubham Saboo and Lavi Nigam on our teams! After studying how agent skills are built across the ecosystem - from Anthropic's repos to Vercel and Google's internal guidelines - they identified five patterns that keep showing up in well-designed agents: 1. Tool wrapper - loads library-specific context on demand, so your agent doesn't carry conventions it doesn't need 2. Generator - enforces consistent document structure using templates + style guides, instead of hoping the model picks the same format twice 3. Reviewer - separates what to check from how to check it, making your rubric swappable without touching the skill logic 4. Inversion - flips the dynamic: the agent interviews you before building anything, refusing to synthesize until it has complete context 5. Pipeline - strict sequential workflow with hard checkpoints and gate conditions that prevent the agent from skipping steps The most useful insight: these patterns compose. A Pipeline can include a Reviewer at the end. A Generator can open with an Inversion phase. ADK's SkillToolset means your agent only loads what it actually needs at runtime. Stop cramming complex workflows into a single system prompt. Structure the content rather than just the format. If you would like to build smarter agents using your skills, check out the Google Agent Development Kit. It supports TypeScript, Python, Go and more. #ai #programming #softwareengineering

Don't over engineer your AI Agents, instead focus on making it simple enough to do one task well. Makes tracing and monitoring a lot more doable when you know what steps your AI Agent takes to complete a task.

This is a great breakdown of how real-world agents are evolving. These patterns highlight a shift : from prompting behavior → to designing workflows. Prompts alone don’t scale. Pipelines, validation layers, and control flow do. #agenticai #rag #ai #google #machinelearning