This is week 13 of my “I Used It for a Week” series. I’ve tested Cursor, Kiro, Copilot, Windsurf, ChatGPT Plus, Devin, Claude Code, Bolt, v0, Replit Agent, Aider, and OpenCode. This week: xAI’s entry into the CLI agent space.
Grok Build launched on May 14, 2026, and I’ve been using it daily since. xAI is late to the CLI coding agent game. Claude Code has been out for months, Aider and OpenCode have loyal followings, and Cursor dominates the IDE space. So the question isn’t “is Grok Build good?” It’s “is it good enough to switch?”
After a week, my answer is: it depends on what you value.
What I Tested
- A Next.js 15 app with App Router (my main project)
- A Python FastAPI backend with SQLAlchemy
- A Rust CLI tool (smaller project, ~2K lines)
- CI/CD automation via headless mode
- The skills marketplace
- Multi-agent tasks with subagents
I used the SuperGrok plan ($99/mo) for the full experience.
Setup: Smooth but Opinionated
Installation is a one-liner:
curl -fsSL https://x.ai/cli/install.sh | bash
grok authTook about 30 seconds. The auth flow opens a browser, you sign in with your xAI account, and you’re done. No fiddling with API keys unless you want to use OpenRouter.
The first thing I noticed: Grok Build reads CLAUDE.md files. Yes, the same project context file that Claude Code uses. This is a smart move. If you’ve already invested time writing a CLAUDE.md for your project, Grok Build picks it up immediately. Zero migration effort.
Day 1-2: First Impressions
I started with my Next.js project. Asked Grok Build to add rate limiting to my API routes.
grok code "add rate limiting to all API routes using upstash/ratelimit"It read my project structure, identified the route handlers, installed the dependency, created a shared rate limiter utility, and applied it to each route. Then it ran my tests. Two failed because of the new middleware, and it fixed them without me asking.
The speed surprised me. Grok Build is noticeably faster than Claude Code for initial responses. The 256K context window means it reads a lot upfront, but the actual generation is quick. I’d estimate 20-30% faster on average for similar tasks.
The multi-agent thing is real. On larger tasks, I could see it spawning subagents in the terminal output. For the rate limiting task, it used one subagent for the utility file and another for applying it across routes. They ran in parallel.
Day 3-4: Going Deeper
I threw harder tasks at it. Refactoring my auth module from next-auth to a custom JWT implementation. This is the kind of multi-file, multi-concern task that separates good tools from great ones.
Grok Build’s Plan Mode is genuinely useful here:
grok plan "migrate from next-auth to custom JWT auth with refresh tokens"It produced a structured plan with 8 steps, estimated token costs, and identified files that would change. I could approve, modify, or reject steps before execution. This is something Claude Code doesn’t have natively (you have to ask it to plan, and it’s less structured).
The execution was solid. Not perfect. It missed a middleware that was checking getServerSession() in a non-obvious location. But when I pointed it out, it fixed it immediately and apologized for the miss. The overall refactoring saved me probably 3-4 hours.
What Impressed Me
Multi-agent architecture
This is Grok Build’s differentiator. When you give it a complex task, it doesn’t just work sequentially. It spawns subagents that handle different parts in parallel. For a “add tests to all untested files” task, it spawned 4 subagents that each handled a subset of files simultaneously. The task that would take Claude Code 8 minutes took Grok Build about 3.
The skills marketplace
I installed @grok/prisma-helper and @grok/jest-generator. Both worked well. The Prisma skill understood my schema and generated migrations that actually made sense. The Jest skill matched my existing test patterns instead of generating generic boilerplate.
The marketplace is small right now (maybe 50 skills), but the quality of the official ones is high.
Headless mode for CI
grok -p "fix any failing tests and commit" --output-format streaming-jsonThis is production-ready. I set up a GitHub Action that runs Grok Build on failing test notifications. It fixed 3 out of 4 test failures this week without human intervention. The streaming JSON output makes it easy to parse results programmatically.
Custom model routing
You can route different types of tasks to different models:
{
"routing": {
"quick_edit": "grok-3-fast",
"complex_task": "grok-3",
"planning": "grok-3"
}
}This saves money on simple tasks while keeping the full model for complex work.
What Didn’t Work
Rust support is weak
On my Rust project, Grok Build struggled. It generated code that compiled but wasn’t idiomatic. Lifetime annotations were often wrong on the first try. It needed 2-3 iterations to get borrow checker issues resolved, where Claude Code typically gets it right the first time.
This isn’t surprising. Grok’s training data likely has less Rust than Anthropic’s models. But if Rust is your primary language, Claude Code is still the better choice.
The 256K context window fills up fast
On my larger Next.js project (~400 files), Grok Build was reading too much context. I had to create a .grokignore file to exclude test fixtures, generated files, and documentation. Without it, complex tasks would timeout or produce worse results because the model was drowning in irrelevant context.
Claude Code handles this better with its automatic context management.
Skills can conflict
I installed a formatting skill alongside my Prettier hook, and they fought each other. The skill would format code one way, then the hook would reformat it, triggering the skill again. I had to disable the skill and rely solely on hooks for formatting. The documentation doesn’t warn about this clearly enough.
No conversation memory between sessions
Every grok code invocation starts fresh. There’s no persistent memory of what you discussed yesterday. Claude Code has the same limitation, but Grok Build’s marketing implies more continuity than actually exists. You can work around it with CLAUDE.md updates, but it’s manual.
Grok Build vs Claude Code
The inevitable comparison:
| Aspect | Grok Build | Claude Code |
|---|---|---|
| Speed | Faster (parallel subagents) | Slower (sequential) |
| Code quality (TypeScript) | Equal | Equal |
| Code quality (Rust/Go) | Weaker | Stronger |
| Planning | Structured Plan Mode | Ad-hoc (ask it to plan) |
| Extensibility | Skills + Hooks + MCP | MCP + CLAUDE.md |
| Context management | Manual (.grokignore) | Automatic |
| Price | $99/mo or API | $100/mo (Max plan) |
| IDE integration | Cursor (ACP) | VS Code, JetBrains |
| Multi-agent | Native, parallel | Sequential |
If I had to pick one today: Claude Code for solo work on complex projects. Grok Build for team workflows with CI/CD automation and when speed matters more than perfection.
The Verdict
Grok Build is a strong v1. The multi-agent architecture is genuinely novel in this space, not just marketing. Plan Mode is well-designed. The skills marketplace has potential. Headless mode is production-ready.
But it’s a v1. Rough edges exist. The context management needs work. Language support outside TypeScript/Python/JavaScript is mediocre. The skills ecosystem is tiny.
Who should use Grok Build:
- Teams that want CI/CD integration with AI coding
- Developers who value speed over perfection
- People already paying for SuperGrok who want coding capabilities included
- Cursor users who want a more powerful backend agent
Who should stick with their current tool:
- Rust/Go developers (Claude Code is better)
- Solo developers happy with Claude Code’s workflow
- Anyone who needs offline capability (Grok Build is cloud-only)
- Budget-conscious developers (Aider + local models is cheaper)
Rating
| Category | Score |
|---|---|
| Setup & onboarding | 9/10 |
| Code quality (TS/JS/Python) | 8/10 |
| Code quality (Rust/Go) | 6/10 |
| Speed | 9/10 |
| Multi-file refactoring | 8/10 |
| CI/CD integration | 9/10 |
| Extensibility | 8/10 |
| Value for money | 7/10 |
| Overall | 8/10 |
A strong entry. Not a Claude Code killer, but a legitimate alternative with unique strengths. I’ll keep it in my rotation for team projects and CI automation. For deep solo coding sessions, I’m still reaching for Claude Code.
For the full setup walkthrough, see the Grok Build complete guide. For how it compares to other tools I’ve reviewed, check the Claude Code review and Antigravity review.
FAQ
Is $99/mo worth it just for Grok Build?
If you’re already using SuperGrok for other xAI features, Grok Build is a free addition. If you’d subscribe solely for Grok Build, it’s competitive with Claude Code’s Max plan ($100/mo). The value depends on whether you use the multi-agent and CI features.
Can I use Grok Build with my own API key instead of SuperGrok?
Yes. Set XAI_API_KEY and you pay per token ($1/1M input, $3/1M output). For heavy use, SuperGrok is cheaper. For occasional use, API keys are more economical.
Does Grok Build work well with monorepos?
It handles monorepos better than I expected, thanks to subagents that can focus on specific packages. Use .grokignore to exclude packages you’re not working on.
How does it handle secrets and sensitive files?
Grok Build respects .gitignore by default and won’t read files matching those patterns. You can add additional exclusions in .grokignore. It never sends file contents to xAI that match ignore patterns.
Will Arena Mode change my opinion?
Possibly. If Arena Mode delivers on its promise of competing solutions for critical code, it could push Grok Build ahead for quality-sensitive work. I’ll update this review when it launches.
Is the Cursor integration worth using over standalone?
For quick edits and visual diffs, yes. For complex multi-step tasks, I prefer the standalone CLI where I can see subagent activity and have more control. The Cursor integration is best for developers who live in their IDE.