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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.

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