πŸ‘¨πŸ»β€πŸŽ“ Software Engineer | Technical Professional | Passionate about building scalable applications and solving real-world problems with clear

Joined March 2019
50 Photos and videos
AI won't replace software engineers. It will replace repetitive coding. The next generation of engineers will win through: β€’ System design β€’ Product thinking β€’ AI orchestration Code is cheaper. Judgment is priceless. πŸ‘‡ medium.com/@kharodiya97/the-…
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AI won't replace software engineers. It will replace repetitive coding. The next generation of engineers will win through: β€’ System design β€’ Product thinking β€’ AI orchestration Code is cheaper. Judgment is priceless. πŸ‘‡ medium.com/@kharodiya97/the-…
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Most React apps don’t feel slow because of β€œbad code”. They feel slow because components re-render more than needed. Use: β€’ React.memo β€’ useMemo β€’ useCallback β€’ Better state placement Small render optimizations compound into faster apps. #ReactJS #WebDev
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Most developers think AI makes them 10x faster. In reality, AI makes bad developers faster at creating bad code. The real advantage comes from using AI with a system. Here's the workflow that changed how I build software:
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The developers getting the biggest AI productivity gains aren't using better models. They're using better workflows. What's one AI workflow that has saved you the most time recently? #AIEngineering
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Practical workflow: Plan Architect Break into tasks Generate code Review Test Refactor Document AI becomes dramatically more useful when inserted into a process.
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Common mistake: Treating AI as a replacement for engineering. AI can generate code. It cannot fully understand your business goals, users, tradeoffs, or production realities. Engineering judgment still matters.
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Step 5: Use specialized AI sessions. One chat for: β€’ Architecture β€’ Backend β€’ Frontend β€’ Testing β€’ Documentation Mixing everything in one conversation reduces output quality over time.
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Step 4: Make AI review its own work. Ask: β€’ What could break? β€’ Security concerns? β€’ Performance issues? β€’ Edge cases? β€’ Simpler approach? This catches many mistakes before production.
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Step 3: Feed AI your existing code. Most developers forget this. AI without context is guessing. Provide: β€’ Current files β€’ Requirements β€’ Constraints β€’ Coding standards The quality difference is massive.
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Step 2: Break work into small tasks. Instead of: "Build authentication" Use: β€’ Create login page β€’ Create auth middleware β€’ Add JWT validation β€’ Add refresh token flow Smaller prompts = better results.
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Step 1: Use AI as an Architect. Before generating code, ask AI to: β€’ Design the system β€’ Define APIs β€’ Suggest folder structure β€’ Identify risks β€’ Estimate complexity Architecture first. Code second.
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Opening ChatGPT and asking: "Build me a SaaS app." You get generic code, poor architecture, and endless debugging. AI performs best when given constraints, context, and clear objectives.
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Better coder? πŸ€– AI writes code faster. 🧠 Humans understand why it should exist. The winners in 2026 aren't Human or AI. They're developers who know how to use both. What's your take? πŸ‘‡
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Developers, let's connect πŸ‘‡ Share your GitHub profile: β€’ What you're building β€’ Your tech stack β€’ A project you're proud of I'll check out a few and follow interesting builders. πŸš€ #GitHub #BuildInPublic
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Share your GitHub profilesπŸ‘‡
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WisdomCodeX retweeted
The biggest shift in software engineering isn't a new framework. It's AI agents moving from autocomplete to execution. GitHub Copilot can now take issues, work across repositories, and help push code toward production. Are we entering the era of AI teammates? #AI #OpenSource
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Libraries I can without: β—‡ zod - validation β—‡ react-hook-form - forms β—‡ react-table - tables β—‡ tRPC react-query - data β—‡ shadcn - UI β—‡ motion - animations β—‡ date-fns - date utils β—‡ ai - AI Toolkit β—‡ nuqs - search params β—‡ recharts - charts β—‡ zustand - state mgmt
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