

Geomapping App for Leads
Real estate app for auto lead assignment by postal code.
Z.ai's GLM 5.1 model is live on atoms.dev — agentic coding that improves the longer it runs
Try GLM 5.1 on Atoms
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Real estate app for auto lead assignment by postal code.


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“Hyper.Gear” is a dystopian techwear e-commerce site built with React and Tailwind, where products feel more like engineered equipment than clothing. Its UI behaves like tactical hardware—matte finishes, barcode-style markers, floating specs, and schematic product cards, all wrapped in a utilitarian, industrial visual system that turns everyday apparel into mission-ready gear.
GLM 5.1 scores 58.4 on SWE-Bench Pro, surpassing Claude Opus 4.6 (57.3) and GPT-5.4 (57.7) on complex software engineering tasks. It generates complete, functional code from your natural language descriptions on Atoms.
Unlike models that plateau early, GLM 5.1 sustains productive optimization over 600+ iterations and thousands of tool calls. On Atoms, this means your app keeps getting refined — better styling, smoother interactions, and fewer edge cases with each pass.
GLM 5.1 breaks complex problems into manageable steps, runs experiments, reads results, and identifies blockers with precision. Combined with Atoms' multi-agent collaboration, it handles ambiguous requirements with strong judgment.
From frontend UI to backend logic, GLM 5.1 generates complete applications. Atoms pairs this with built-in authentication, database, and hosting via Atoms Cloud — so your generated code deploys to production with one click.
Run GLM 5.1 alongside other models in Atoms' Race Mode to compare outputs in parallel. Pick the result that matches your vision, then iterate further — useful for evaluating GLM 5.1's strengths on your specific project type.
GLM 5.1 is released under the MIT License with 744B parameters (40B active) and a 200K context window. On Atoms, you get this capability without managing infrastructure — just describe your app and start building.
Turn your product idea into a deployed app with authentication, payments, and database — no engineering team required.
GLM 5.1's repo-generation strength (42.7 on NL2Repo) handles frontend scaffolding while you focus on business logic.
Describe features in plain language and get working prototypes to validate with stakeholders before committing dev resources.
Use GLM 5.1's long-horizon refinement to produce polished, production-ready applications faster for client deliverables.
Describe your app idea in natural language and let GLM 5.1's agentic coding turn it into deployed software on atoms.dev.