coding

Hopper

The first agentic development environment for mainframes — AI agents that navigate z/OS, write JCL, and debug jobs via natural language.

7.2 /10
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Pricing

Hobby
Free
  • No credit card required
  • macOS, Windows, and Linux
  • Connect to your own mainframe
  • All core Hopper features
Enterprise
Custom
  • SAML SSO
  • MCP Server Access
  • Admin and Model Controls
  • Org-wide Privacy Controls
  • No Model Training
  • Priority Support
  • On-prem / VPC Deployment
  • SOC 2 & Pen Test Reports

Key Features

  • AI agents drive ISPF panels by ID and issue z/OS commands via natural language
  • Writes column-strict JCL, submits jobs, and parses JES return codes autonomously
  • Decodes JESMSGLG, JESYSMSG, and SYSUDUMP into structured abend diagnostics
  • Queries VSAM datasets as SQL through an MCP-connected agent interface
  • Full TN3270 terminal with PF, PA, and attention-key support built in

Pros & Cons

Pros

  • Targets a genuinely underserved market — mainframe tooling has seen almost no AI investment
  • Free Hobby tier lets you connect your own mainframe with no credit card
  • MCP-based architecture means it can integrate with the broader AI agent ecosystem
  • Approval-gated execution (pauses before changes) reduces risk in production COBOL environments

Cons

  • Extremely niche — only relevant to organizations still running z/OS mainframes
  • Enterprise pricing is opaque; no published seats or module costs
  • Hobby tier requires you to own or have access to a mainframe, limiting casual evaluation
  • Very early product — limited public track record or third-party reviews available
Verdict

Hopper is a technically credible bet on a neglected problem: the millions of COBOL lines still running critical banking and government systems have no modern AI tooling. If your team regularly wrestles with SDSF triage and JCL debugging, the free tier is worth a serious look. For everyone else, this is one to watch as the mainframe modernization wave builds.

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