Skip to content
Tutorial emka
Menu
  • Home
  • Debian Linux
  • Ubuntu Linux
  • Red Hat Linux
Menu
top 1% ai coding tips

TOP 1% AI Coding: 5 Practical Techniques to Code Like a Pro

Posted on January 9, 2026

It honestly feels like we are leaving so much potential on the table when it comes to our AI coding assistants. You look at these top-tier engineers, and they seem to have this seamless flow with tools like Claude or Cursor, while the rest of us are just kind of chatting back and forth, hoping for the best. We need to get super practical today. We aren’t going to talk about new tools you need to buy; we are going to look at a better way of working that unlocks the real power of the software you already have.

First things first, we need to talk about PRD-First Development. I know, “Product Requirement Document” sounds super corporate, but in this context, it’s really just a single markdown file that defines your scope. Think of it as your project’s North Star. When we start green field development, or building something from scratch, this document holds everything needed for the MVP. It seems like a lot of people skip this and dive right into coding, but then their agent sort of falls on its face because it lacks direction. You guys need to use the PRD to split the project into granular features—like the API, the UI, and the auth—so the agent doesn’t choke on too much information at once. It’s basically the roadmap that keeps everything on track.

Then, there is the concept of a Modular Rules Architecture. Here is the thing: most of us make our global rule files way too long. We stuff every single constraint and convention into one place, and it just overwhelms the LLM. It’s messy. A better approach is to keep your main rule file—like your cursorrules or claude.md—very lightweight. It should only have the stuff that applies 100% of the time. For everything else, like specific front-end guidelines or database schemas, you put those in separate reference files. You only tell the agent to read those specific files when it’s actually working on that part of the stack. It protects the context window, which is super critical.

Next up, we have to start “Command-ifying” Everything. I’m not sure if “command-ifying” is a real word, but we are going to roll with it. The rule of thumb here is simple: if you find yourself typing the same prompt more than twice, you should turn it into a reusable command or workflow. These are just markdown docs that define a process. Whether it’s for making a git commit, creating a PRD, or running a code review, you can package it up. It saves you thousands of keystrokes in the long run. It’s kind of crazy how much time we waste typing the same instructions over and over again when we could just have a library of workflows ready to go.

Another technique that feels a bit counterintuitive is the Context Reset. So, typically, you have a long conversation with your agent to plan a feature. But once you have that plan locked down in a markdown document, you should actually wipe the chat memory clean. Totally reset it. You start the execution phase with only the plan as context. This ensures the agent isn’t distracted by the back-and-forth noise of the planning phase. It just takes the plan and executes. It creates a much cleaner output because the agent has all the room it needs to reason about the code without the baggage of the previous conversation.

Finally, and this is probably the most important one, we have System Evolution. This is really just a mindset shift. When you guys encounter a bug, don’t just fix the code and move on. You need to look at the system that allowed the bug to happen. Ask yourself, “What rule is missing? What part of the workflow failed?” Maybe the agent keeps forgetting to run tests, so you update your planning template to include a mandatory testing section. Or if it messes up imports, you add a specific rule for that. You treat every error as an opportunity to upgrade your agent’s “brain,” making it smarter and more reliable for the next time.

From a practical perspective, adopting these workflows transforms the AI from a simple chatbot into a genuine engineering partner. It might feel like a bit of extra work upfront to set up your PRDs and modular rules, but the payoff is massive. We recommend you guys start with just one of these techniques—maybe the context reset or the PRD approach—and see how it changes your flow. It’s about building a system that improves over time, rather than just reacting to bugs day in and day out.

Recent Posts

  • Tailwind’s Revenue Down 80%: Is AI Killing Open Source?
  • Building Open Cloud with Apache CloudStack
  • TOP 1% AI Coding: 5 Practical Techniques to Code Like a Pro
  • Why Your Self-Hosted n8n Instance Might Be a Ticking Time Bomb
  • CES 2026: Real Botics Wants to Be Your Best Friend, but at $95k, Are They Worth the Hype?
  • Apa itu Cosmic Desktop: Pengertian dan Cara Pasangnya di Ubuntu 26.04?
  • Apa Itu Auvidea X242? Pengertian Carrier Board Jetson T5000 dengan Dual 10Gbe
  • Elementary OS 8.1 Resmi Rilis: Kini Pakai Wayland Secara Standar!
  • Apa Itu Raspberry Pi Imager? Pengertian dan Pembaruan Versi 2.0.3 yang Wajib Kalian Tahu
  • Performa Maksimal! Ini Cara Manual Update Ubuntu ke Linux Kernel 6.18 LTS
  • Ubuntu 26.04 LTS Resmi Gunakan Kernel Terbaru!
  • Apa Itu AI Kill Switch di Firefox? Ini Pengertian dan Detail Fitur Terbarunya
  • Apa Itu Platform Modular Intel Alder Lake N (N100)? Ini Pengertian dan Spesifikasinya
  • Apa Itu Armbian Imager? Pengertian Utilitas Flashing Resmi untuk Perangkat ARM Kalian
  • Apa Itu OpenShot 3.4? Pengertian dan Fitur LUT Terbaru untuk Grading Warna
  • Flatpak 1.16.2: Sandbox Baru untuk GPU Intel Xe dan VA-API
  • Apa Itu EmmaUbuntu Debian 6? Pengertian Distro Ringan Berbasis Trixie untuk PC Lawas
  • Apa Itu LocalSend? Pengertian dan Definisi Solusi Transfer File Lintas Platform
  • Apa Itu Microservices Playbook untuk AI Agent? Ini Definisi dan Strategi Penerapannya
  • Apa Itu Firefox AI Engine? Definisi dan Pengertian Strategi Baru Mozilla
  • Apa Itu Toradex Luna SL1680? Definisi System-on-Module dengan Kekuatan AI Terjangkau
  • SparkyLinux 2025-12 ‘Tiamat’ Dirilis dengan Debian Forky, Kernel 6.17
  • Apa Itu SnapScope? Ini Pengertian dan Cara Kerjanya di Ubuntu
  • Apa Itu Mixxx Versi 2.5.4? Ini Pengertian dan Pembaruannya
  • Linux Kernel 6.19 RC1 Dirilis
  • Inilah Cara Download Video TikTok 2026 Tanpa Watermark
  • Belum Tahu? Ini Trik Nonton Doods Pro Bebas Iklan dan Cara Downloadnya
  • Misteri DNA Spanyol Terungkap: Jauh Lebih Tua dari Romawi dan Moor!
  • Kenapa Belut Listrik itu Sangat Mematikan
  • Apa itu Tesso Nilo dan Kronologi Konflik Taman Nasional
  • Inilah Cara Membuat Aplikasi Web Full-Stack Tanpa Coding dengan Manus 1.5
  • Inilah Cara Melatih AI Agent Agar Bisa Belajar Sendiri Menggunakan Microsoft Agent Lightning
  • Tutorial Optimasi LangGraph dengan Node-Level Caching untuk Performa Lebih Cepat
  • Tutorial Membuat Game Dengan LangChain
  • X Terancam Sanksi Eropa Gara-Gara AI Grok Bikin Deepfake Anak Kecil
  • Apa itu RansomHouse Mario? Ini Pengertian dan Mengenal Versi Baru ‘Mario’ yang Makin Bahaya
  • Inilah Risiko Fatal yang Mengintai Kreator OnlyFans, Dari Doxxing sampai Penipuan!
  • Apa itu Kerentanan FortiCloud SSO? Ini Pengertian dan Bahayanya
  • Apa itu Covenant Health Data Breach? Ini Pengertian dan Kronologi Lengkapnya
  • Apa Itu Integrasi Criminal IP dan Cortex XSOAR? Ini Definisinya
©2026 Tutorial emka | Design: Newspaperly WordPress Theme