Most people use Claude like a glorified search engine. Ask a question, skim the answer, move on. That's the surface. Underneath it, there's a set of capabilities most developers haven't touched yet, and some of them will genuinely change how you work.
Here are 7 things Claude can do that most people don't know about or use.
1. Think through hard problems before answering
Claude's extended thinking mode lets it pause and reason step by step before giving you an answer. Instead of a quick response based on pattern matching, it works through the problem the same way a developer would: breaking it apart, checking assumptions, catching edge cases, and then responding.
This is particularly useful for debugging logic errors, designing system architecture, or working through tricky algorithm problems. The thinking is visible in the response, so you can follow the reasoning, not just accept the conclusion.
If you've been getting shallow answers to complex questions, you're probably not giving Claude the signal that it should slow down and think. Being explicit helps: "Think through this carefully before answering" or framing the problem as a multi-step challenge.
2. Read your entire codebase at once
Claude supports a 200,000-token context window. That's roughly 150,000 words, or the equivalent of several large source files at once. In practice, it means you can paste in an entire backend, a full migration history, or a set of interdependent modules and ask Claude to reason across all of it.
This isn't useful just for question-answering. Where it really shines is understanding unfamiliar codebases. Drop in a service you've inherited, describe what you're trying to change, and let Claude trace the dependencies and surface the parts that actually matter.
Most AI tools force you to chunk your code and lose context between requests. Claude holds it all together.
3. Analyze screenshots and turn them into code
Claude understands images. Hand it a screenshot of a UI, a mockup, a diagram, or a database schema drawn on a whiteboard and it can describe what it sees, identify patterns, and generate working code to match.
This is particularly useful for design-to-code workflows. Share a Figma screenshot or a screen recording of a broken UI, and Claude can produce a layout that matches it, point to where the CSS is likely off, or suggest what the component structure should look like.
Vision isn't a novelty here. It removes a translation step that used to require a designer, a developer, and a dozen back-and-forths.
4. Write, run, and fix code autonomously with Claude Code
Claude Code is an agentic coding tool that takes instructions in plain language and handles the implementation end to end. It reads your files, writes the code, runs tests, catches what failed, and iterates until it works.
This goes well beyond autocomplete or suggestion-based tools. Claude Code can scaffold an entire feature, refactor a module, or investigate a bug across multiple files without you directing every step. You describe the outcome; it figures out the path.
It's worth trying for tasks that would normally take you an afternoon of focused work. Set up auth, wire up an API integration, migrate a schema. Give it the goal and let it work.
5. Connect to your tools in real time via MCP
The Model Context Protocol (MCP) gives Claude the ability to connect to external systems, your database, your APIs, your services, and actually interact with them. Not just describe what it would do, but do it.
With the Appwrite MCP server, for example, Claude can create users, query collections, manage storage, and trigger functions directly inside your Appwrite project. You describe what you need in plain language, and Claude handles the operation. No copy-pasting API responses. No switching tabs to check the console.
This is what agentic AI actually looks like in practice: the model connected to real systems, taking real actions. If you've only ever used Claude in a chat window, adding MCP changes the category of work it can handle.
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6. Remember context across conversations with Projects
Claude has a Projects feature that lets it retain context across sessions. You can give it background about your codebase, your team's conventions, the constraints you're working under, and it carries that forward into every conversation inside the project.
This removes the repetitive setup most developers hate. You don't need to re-explain your stack every time you open a new chat. You don't need to re-paste your schema to ask a follow-up question. Claude already knows what you've told it.
It works especially well for ongoing work: a product you're actively building, a codebase you maintain, or any context that would take several paragraphs to re-establish from scratch.
7. Act as a second engineer on technical decisions
Most developers use Claude to fix code. Fewer use it to think through decisions. That's where it's arguably most valuable.
Feed Claude a technical decision you're weighing, the trade-offs you've identified, the constraints you're working under, and ask it for a clear opinion. It will give you one. It won't hedge endlessly or tell you "it depends" without explaining what it depends on. It can draft the architecture, point out what you haven't considered, and tell you which approach it would take and why.
This works best when you treat Claude like a collaborator, not a tool. Share the real context. Ask for the honest read. Push back when something doesn't land right. The output quality goes up fast when the conversation is two-directional.
Start using Claude with your backend
Most of these capabilities are available out of the box, but the one that changes the day-to-day the most for developers is the MCP connection to a real backend. Once Claude can actually read and write to your project, it stops being an assistant and starts being an active part of your workflow.
If you're using Appwrite, the Appwrite MCP server is the fastest way to get there. It connects Claude directly to your project so you can manage data, run operations, and prototype features without leaving your editor. The Appwrite AI integrations page has more on how to wire up AI tools to your stack.
