STOP Using GPT-5 for Coding (Try Warp Instead)

Coding by hand is dead. Today I'll show you how to code by prompt with WRP, the agentic development environment that ships the world's top ranked coding agent. Just a practical walkthrough of how to build, fix, and ship using agents instead of your fingers. You'll learn how Worp's universal input replaces typing, how to run multiple agents in parallel, how rules keep them safe, how MCP servers plug into your stack, and how to review every change with inline diffs plus code editor. Worp is defined in a new category called the agentic development environment. In plain English, WRP combines the power of AI code and agents with a full terminal and coding interface. You get your usual shell and text editor, but supercharged with AI agents that can write, execute, and manage code for you. Warp actually has a free tier, so you can try it without cracking open your wallet. The free version gives you all the core features and a limited number of AI requests to get started. Power users can upgrade to Pro at around $15 a month for higher AI limits. And there's even a higher tier, Turbo Business, etc. around $40 a month for heavy duty needs. The nice thing is the core experience isn't paywalled. You can use Warps AI coding features on the free plan just with lower monthly usage, then decide if it's worth the investment for you or your team. Now, let's dive into WP's features and see why it feels like a new category of dev tool. Ever caught yourself typing

get status in one window and asking what's the command to undo the last commit in another? Worp solves this with something called universal input. This is a single input box that doesn't care whether you're typing a Linux command or an English sentence. It handles both seamlessly. Essentially the line between terminal mode and chatbot mode is gone. You can type ls-force and hit enter to run it. then immediately ask, "Now delete all the fully merged branches in plain English. " Warp will figure out that the second input isn't a literal command, but a request, and an AI agent will jump in to interpret it and act accordingly. No mode switching, no special prefix. It's truly universal. How does Warp pull this off? Under the hood, agent mode uses AI to parse natural language and turn it into actual shell steps when needed. For example, if I say find all todo comments in this project and list the files, Warp's agent understands the intent and might execute a combination of GP commands for me all right inside the terminal. I've gone from asking WP in English to set up a dev environment straight into running a few manual commands myself, then back to English to have the AI fix a config file. It's all one continuous conversation command line. And here is a UI innovation that makes universal input even smarter. You can attach context directly to your prompt using the add symbol. You can attach a file from your project, an image, or even a URL to your query. Warp will index whatever you attach and feed it into the agent's context. It feels like having a supercharged command line where the AI always has the right background info. No more copy pasting code snippets into chat GBT. Warp's input field lets you pull in the real files or data as

context. So, the input is unified. Great. But what happens next? This is where Worp's AI agents come into play. Unlike a passive suggestion tool, Worps agents can write code and execute it in real time. Think of them as built-in co-pilots that don't just give you code in a chat, they can modify your actual codebase and run terminal commands on your machine. For example, if you ask add authentication to this Express app, an AI agent will generate the code and actually write the changes into the files in your project. It might even run the app or tests to verify it works. Warp is built so that these agents have access to your environment. They can call compilers, run CLIs, or query databases as needed. This is a huge difference from using Chad GBT in a browser where it can only suggest what to do. Worp's agent can do it. If the agent needs to migrate your database, it can run the commands. If it needs to test an API endpoint, can curl it or spin up a local server. All this happens right in the terminal. So you see the output as it happens. Under the hood, Warp's AI is model agnostic. You get access to GBT, Anthropic Claude, Google Gemini, etc. Basically, the best model for the task. One more feature is code context. Worp can privately index your code to certain limits, so the AI agent is aware of your whole codebase structure. This is especially helpful when you want to make a change or quickly grock something within a large codebase. No more sorry, I don't have that file moment. Worp's agent will actually search your repo. Ever wish you

could clone yourself? Worp pretty much lets you do that. It supports multiple agents running in parallel. You can literally spin up separate AI helpers for different tasks all within the same window. Picture having one agent working on a new feature branch while another agent is debugging a pesky production issue simultaneously. Warp's interface is built to handle this. You can open multiple tabs or split panes, each with its own agent conversation and monitor them all centrally. There is an agent management panel that shows all your agents and their status. So if agent A is running tests and agent B is deploying something, you have a bird's eye view of both. You can stop an agent, switch contexts, or jump into help if needed. This setup is a huge productivity boost for heavy AI users. In Worp's early tests, dev saved six to seven hours a week by parallelizing tasks with multiple agents. Of course, having parallel agents means you'll appreciate Worp's notification system. More on that later. You'll get an alert when an agent finishes or needs your input, so you can multitask without constantly checking each tab. Personally, I've run an update dependencies agent in one pane while I continue coding with another agent in a different pane. When the update agent needed me to review changes were popped a notification so I could hop over. This feels incredibly empowering once you get used to it. You're effectively doing code reviews and feature development at

the same time. All this talk of AI agents running around your code base sounds a bit scary. Don't worry. Worp gives you a fine grain control over how autonomous these agents can be. Think of it like setting the rules of engagement for your AI helpers. You can decide if an agent needs approval for certain actions or can just do them automatically. For instance, you might allow an agent to edit files freely, but always ask you before installing a new package or running a database migration. Warp lets you configure these rules easily via a GUI. There's actually a feature called rules where you list out commands or patterns that should trigger confirmation prompt. In practice, Warps agents will pause and ask you if they hit a guard rail you've set via notification or inline prompt. You'll see something like agent wants to execute Docker push allow. You can click yes or no. This gives peace of mind that the AI won't go rogue on your production. You can run agents in a very restricted mode. Approve every single step, fully autonomous mode, agent just goes for it, or something in between. On a personal note, I usually start an unfamiliar agent workflow in a more interactive mode until I trust it, then let it off the leash more. Beyond just safety rules, Warps rules feature also helps with consistency and style. You can define coding style guidelines or preferences as rules, which the AI will then obey. For example, you might add a rule like always use async await instead of raw promises or in this repo follow Airbnb esl rules. These become part of the agents instructions, so you don't have to repeat yourself every time you prompt. It's a way of baking your best practices into the AI's behavior. A

standout aspect of Worp is how it handles knowledge sharing with WordPrive. If you used earlier WordP versions, you might recall WordPs, scripts, and notes. Kind of like your personal or team snippet library. In Warp ADE, Drive has leveled up to become a central knowledge hub that both you and the AI agents can tap into. Here's how it works. Warp Drive can store notebooks, workflows, and prompts as first class objects. You can document an onboarding procedure, save a complex multi-step release process as a workflow, or keep a prompt template for, say, write in good commit messages. These can be shared across your team in real time. So if your teammate figures out a gnarly cloud deployment command, they save it to Warp Drive and now everyone and everyone's agents can reuse it. Now anything in Warp Drive can be fed as context to the AI. If you have a notebook in Drive with say your project's architecture overview or a list of API endpoints, Warp's agents will consider that when answering your questions or generating code. The founders talk about centralizing the team's knowledge so nothing useful lives only in one person's head or one Slack thread. And as Lloyd, Warp's CEO said, that's super valuable for an agent to access as well. In practical terms, I've used Warp Drive to save an ENV setup workflow for our app. When I hire a new engineer, they can run that workflow in Warp to get their dev environment configured in minutes. And if I ask the AI agent later add the S3 keys to the end knows what those keys are because the warp drive entry for environment variables it's indexed as context. No more RFTM moments. The AI kind of did read the manual are manual in warp

drive. Next up integrations philosophy is that it shouldn't be sealed box. It should connect to the tools and platforms you use. They achieved this through something called MCP, model context protocol servers, which are basically plugins that let the agents interact with external sources. In non-jargon, an MCP server is like a bridge between Warps AI and another service or data source. Out of the box, Warp supports a bunch of these. For example, a GitHub MCP can let the agent create PRs or comment on issues. A linear MCP can fetch ticket details from linear. A Sentry MCP can pull in error details. And a Figma MCP can grab design info from Figma. There's even a Puppeteer MCP that effectively gives the agent a headless browser to perform web automation tasks, scraping, click, and buttons, etc. Setting up an MCP integration is straightforward through Warp's UI. There's a panel under settings or Warp Drive for MCP servers. You click add server, pick the type CLI or web endpoint, and provide the connection details or command to run. Worp will launch that server and keep it running and the agent then knows it has that capability available. One of WRP's

killer features is how it handles code changes. When an AI agent makes changes to your code, WRP presents them as realtime diffs, basically an inline git diff showing what changed. You'll see green additions and red deletions in your code right as the agent proposes them. This lets you review exactly what the AI is about to do before you accept it. It's like a built-in code review for the AI's work. If something looks off, you can tweak the code directly or tell the agent to correct it. Yes, you heard that right. Worp includes an integrated code editor. You're not forced to jump out to VS Code or cursor to edit a file that the agent is working on. Instead, you can open the file in a Warp Editor tab, make your edits, and save, all without leaving the Warp app for quick fixes or insertions. This is super convenient. The awesome part is the tight coupling with the agent workflow. For example, an agent generates a function in a file. You open that file in the editor pane. That work pops up at just a few lines and hit apply changes. Warp then continues the agents run with your edits incorporated. No copy paste dance needed. The diff view comes into play whenever the agent suggests changes across one or multiple files. Warp will show a list of files with pending changes. You can click each to review the diff. Maybe the agent updated five files to add a new feature. You can skim through each diff, make minor tweaks if needed, and then approve them in one go. This is fantastic for catching AI hiccups. Let's say the agent's code works, but the variable names are nonsense. You spot it in the diff, quickly rename them in the editor, and then accept. Boom. Your codebase updates with your improvements, and the agent can move on to the next step. Another thing I appreciated, Warps AI is aware of the diff context. If you say, why do you remove this function? The agent can explain using the diff as reference because it knows exactly what changes it made. It's a much tighter feedback loop than pasting code into chat GPT. And if the diff is wrong or fails tests, you can reprompt the agent to fix it again with a diff visible as a guide. Worp essentially brings the IDE review workflow into the AI conversation, which is one of the reasons it feels so polished compared to the other AI coding

tools. Here's a fun one. Worp lets you talk to your terminal. Yes, voice control is built in. Using the mic button or hotkey, you can dictate commands and queries and WP will transcribe and execute them. This isn't just a gimmick. It's surprisingly handy for complex tasks or when your hands are full or lazy. For example, you can literally say, can you go for Amazon search for white t-shirt woman? Scrape the results. The voice feature uses an AI speechtoext engine for under the hood. And in my testing, it's pretty accurate, even with tech jargon. Now, let's talk about notifications. Warp's interface isn't just a static terminal. It has a notion of notifications and alerts to keep you informed. This ties back to multi- aent workflows and guard rails. If an agent needs your input or hits a rule, Warp will pop up a notification and also highlight the relevant panel. This means you don't have to babysit the process. You could be reading documentation in a split pane or elsewhere. And trust Warp to let you know when it's time to pay attention again. On Mac OS and Windows, these can tie into system notifications, too. Notifications also appear inside Worp's UI at the top bar, so you have a history of what happened if you need to review.

Worp feels like a natural evolution of our dev tools in the age of AI. Not a replacement of our brains or coding skills, but a serious upgrade to how we interface with machines. It combines the best parts of a smart terminal, an editor, and an AI assistant into one cohesive package. Isn't work perfect? Of course not. But Warp excels at taking the grunt work off your plate. If you're a solo deaf or a startup engineer, Warp can effectively multiply your output, even if you are skeptical. I'd say it's worth a shot. After all, the base version is free, so the only thing you need to invest is some time and an open mind. For a limited time, my friends at Warp are offering their Warp Pro plan for 70% off. No big hype here, just an invitation. Grab Warp. It's a quick install on Mac, Windows, or Linux. Play around with the agentic goodies and see if it clicks for you. It might just change the way you code dayto-day. Happy coding and I'll see you in the next one.