These are the AI coding capabilities built into GMMCode. Our coding tools and agents do real work inside your codebase, generating, reviewing and refactoring code, and every one of them runs on the same governed platform: standards enforced at generation time, evidence recorded on every change.
Context-aware code completion and full-function generation grounded in your repository's patterns and conventions.
Goal-driven agents that scope a task, write code, run tests and open a pull request, with human approval at every gate.
Automated review for security, performance and correctness that flags issues before they reach production.
Large-scale, repository-wide refactors and framework migrations executed safely and incrementally.
Native plugins for popular editors so suggestions appear exactly where your developers already work.
Clean, well-documented APIs and SDKs to embed GMMCode intelligence into your own products and pipelines.
Describe the work in plain language. The agent plans the change, edits the relevant files, runs your test suite and proposes a reviewable pull request, never merging without your approval.
GMMCode indexes your repositories so generated code follows your architecture, naming conventions and internal libraries, reducing the cleanup that generic assistants leave behind.
Spend less time on boilerplate and more on the hard problems, with every generation already checked against your standards.
Run governed AI delivery across concurrent client engagements, with per-engagement isolation and audit trails your clients can inspect.
Adopt AI coding with the security, segregation of duties and compliance evidence your risk committee requires.
Book a guided walkthrough tailored to your stack and team workflow.
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