build AI agents

Claude Code, Cursor, and Windsurf each offer distinct advantages for building AI agents, with Windsurf's Flow providing superior context tracking and Cursor's Composer feeling like directing a smart intern, while Claude Code excels for terminal-based tasks by directly accessing the shell. The author notes that no tool solves the stochastic nature of agents, and effective prompt engineering requires shifting from instructional prompts to few-shot examples.

build AI agents Claude Code /en/tags/claude%20code/ : Which one actually helps you build AI agents? Building AI agents usually feels like wrestling with a thousand fragile dependencies. One minute you're configuring an MCP /en/tags/mcp/ Model Context Protocol server, and the next, your agent is stuck in a recursive loop trying to read its own config file. I spent about six hours last Thursday trying to get a custom tool to trigger a specific API call, only to realize the LLM was hallucinating the endpoint because my context window was cluttered with irrelevant logs. The "AI IDE" war isn't about who has the prettiest UI. It's about who manages the codebase context best so the agent doesn't trip over its own feet. The actual numbers on agentic coding Most marketing pages talk about "productivity gains." That's useless. Let's look at what actually happens when you try to build AI agents using these tools. Cursor /en/tags/cursor/ is the incumbent. It feels stable. Windsurf is the newcomer with "Flow" that claims to understand your intent better. Claude Code is the terminal-based beast that lives where the logs are. | Feature | Cursor Pro | Windsurf | Claude /en/tags/claude/ Code Beta | | :--- | :--- | :--- | :--- | | Price | $20/mo | $20/mo | Usage-based API | | Indexing Speed | Fast Local/Remote | Very Fast | N/A Direct File Access | | Context Handling | RAG /en/tags/rag/ -based / @ Symbols | Context-Aware "Flow" | Direct Shell/File Access | | Agentic Autonomy | High Composer | Very High Flow | Extreme CLI-native | | Best Use-Case | Full-stack development | Rapid prototyping/Refactoring | Heavy CLI/DevOps/Fixing Bugs | Why Windsurf's "Flow" beats Cursor's Composer for agents I've used Cursor for a year. I love it. But Windsurf feels different when you build AI agents. Cursor's Composer is great, but it still feels like you're directing a very smart intern. You tell it what to do, it does it, you check it. Windsurf’s Flow feels more like a partnership. It tracks the "state" of your session more aggressively. When I was building a RAG-based agent last month, Windsurf caught a type mismatch in my vector store implementation before I even ran the code. Cursor would have let me run it, let it crash, and then asked me to provide the error log. The speed is an odd detail, but the latency in Windsurf's context switching is noticeably lower. It doesn't feel like it's "re-reading" the file every time you hit enter. Claude Code is for the terminal purists If you're building AI agents that interact with the OS, Claude Code is the only real choice. It doesn't live in a fancy IDE; it lives in your shell. The wild part is the permission model. You give it access to your terminal, and it just... works. I used it to debug a failing Docker container for an agent deployment. Instead of copying the logs into a chat box, Claude Code just ran docker logs , saw the crash loop, edited the docker-compose.yml , and restarted the service. That took about 14 seconds. In an IDE, that's a 5-minute dance of switching windows. But it's expensive. Since it's hitting the API directly, a few deep dives into a large codebase can eat through your credits faster than you can say "token limit." The struggle with prompt engineering for agents No tool solves the "stochastic" nature of agents. You can have the best IDE, but if your system prompt is garbage, your agent will still loop. The trick I've found—and something we discuss constantly in the PromptCube community—is shifting from "instructional" prompts to "few-shot" examples. Stop telling your agent "Be concise and efficient." That means nothing to a model. Instead, give it three examples of a perfect tool call and three examples of a failed tool call. When you start experimenting with complex Workflows /en/category/workflows/ , you realize the bottleneck isn't the coding tool; it's how you structure the agent's reasoning loop. My biased recommendation Stop overthinking it. If you want a polished experience where you can still "see" everything and you're doing general app development, stick with Cursor. If you are specifically trying to build AI agents and want a tool that feels like it's thinking with you rather than for you, switch to Windsurf. The "Flow" state is a tangible advantage for complex logic. If you're a CLI wizard who hates leaving the terminal and doesn't mind paying per token, Claude Code is the power move. Getting the actual "secret sauce" from PromptCube The tools are just the plumbing. The real value is in the patterns. I joined PromptCube because I was tired of guessing why my agent was failing. It's not a place for "Hello World" tutorials. It's where people share the actual system prompts that prevent agents from hallucinating API keys or getting stuck in infinite loops. It's a collective brain for developers who are actually shipping AI code, not just playing with wrappers. Joining is simple: find the community, dive into the forums, and stop trying to solve every agentic bug in isolation. Most of the "bugs" you're hitting have already been solved by someone else who spent ten hours fighting the same prompt. Next Claude Code: Why Local Context Matters for AI Infrastructure → /en/threads/4261/ All Replies （0） No replies yet — be the first