Moderne
Deterministic agent tools for large-scale code transformation and migration.
If you're running a fleet of coding agents and need them to understand and modify massive codebases without burning tokens, Moderne's LST-based toolkit is a strong fit. Skip it if your team handles code changes manually or uses only small, single-repo projects.
Verified 18d ago · liveness 93/100 · cite: rightaichoice.com/tools/moderne
- Enterprises deploying multiple coding agents across large multi-repo codebases
- Teams automating framework migrations (e.g., Java 8 to 21) at scale
- Security teams needing bulk, deterministic vulnerability remediation across thousands of repos
- Platform engineers building agent knowledge infrastructure for developer tools
- Small teams with single-repo projects and manual code review workflows
- Organizations not yet adopting agent-driven engineering or coding agents
- Teams looking for lightweight static analysis without transformation capabilities
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Skip Moderne if your team handles code changes manually or uses only small, single-repo projects.
Pricing is custom enterprise only with no self-serve tier, requiring a sales call to get a quote.
Moderne is priced for enterprises with large multi-repo codebases. Unlike per-seat tools like GitHub Copilot, Moderne's value scales with repo count. For smaller teams, it's cost-prohibitive compared to open-source OpenRewrite or cheaper static analysis tools.
In short
Moderne — Deterministic agent tools for large-scale code transformation and migration. Best for Enterprises deploying multiple coding agents across large multi-repo codebases, Teams automating framework migrations (e.g., Java 8 to 21) at scale, Security teams needing bulk, deterministic vulnerability remediation across thousands of repos. Contact Sales pricing.
What's new in Moderne
Checked 18 days agoAcross the latest 6 updates: 4 feature updates and 2 community discussions.
Challenges in post-quantum cryptography: Finding and fixing quantum threats at scale
Moderne helps enterprises prepare for post-quantum cryptography by finding and fixing quantum-vulnerable code across massive systems.
Agentic coding alone can't close the Mythos remediation gap
Mythos made discovery cheap. Closing the vulnerabilities it finds requires more than agentic coding alone.
Code generation was the easy part
Six engineering leaders on what gets hard after AI writes the code.
Modernizing off of legacy Java app servers: deconstructing to automate
Go horizontal across WebSphere, WebLogic, and JBoss with deterministic recipes that automate 80% of legacy app server modernization.
AI coding agents don't need bigger models. They need better tools.
The same Java migration cost 30K tokens with the right tool and 61M without. Inside LST, local MCP, Prethink, and Trigrep search.
Code quality metrics that AI coding agents can actually use
Cyclomatic complexity, LCOM4, Halstead defect density, test gap risk scores — how PreThink computes and surfaces code quality metrics.
Viability Score
How likely is Moderne to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Lossless Semantic Tree (LST) based code analysis
- Deterministic framework and language migrations across repositories
- Bulk OWASP vulnerability remediation with verified transformations
- Multi-repo change coordination with full traceability
- Precomputed context registry (PreThink) for agent knowledge
- Organization-wide search faster than grep via LST index
- Agent governance and visibility across teams
- Token-efficient agent tool calls via precomputation
- Cloud migration readiness analysis and execution
- Continuous optimization feedback for agent performance
- Support for Java, Python, JavaScript, C#, Kotlin (10+ languages)
- Integrated with OpenRewrite recipe ecosystem (10,000+ recipes)
- MCP (Model Context Protocol) agent integration
- Air-gapped deployment (Moderne DX Airgapped)
- CI/CD integration with Jenkins, GitHub Actions, GitLab CI
About Moderne
Moderne provides deterministic tools for understanding, discovering, and transforming code at enterprise scale. Built on the OpenRewrite Lossless Semantic Tree (LST), the platform empowers engineering teams to automate large-scale refactoring, framework migrations, and security vulnerability remediation across thousands of repositories. Moderne's toolkit includes precomputed context registries, organization-wide search, and multi-repo change coordination, enabling coding agents to execute deterministic changes with full traceability and lower token costs. It's designed for organizations adopting agent-driven engineering, where agent performance and governance become critical. Features include code-aware semantic analysis via LST, deterministic framework and language migration, bulk vulnerability remediation (SCA/SAST/OWASP), multi-repo change execution with traceability, and agent governance and visibility. The platform integrates with the OpenRewrite ecosystem and supports Java, Python, JavaScript, and other languages, aligning with enterprise CI/CD pipelines. Compared to traditional static analysis or manual refactoring, Moderne shifts heavy computation from GPU inference to CPU-based precomputation, dramatically reducing agent token usage and improving accuracy.
Behind the Verdict
Moderne takes a unique approach to code transformation by building a Lossless Semantic Tree of every repo, giving agents a deterministic, compiler-accurate model to work from. This shifts the heavy lifting from GPU inference to CPU precomputation, which dramatically reduces token consumption—an example from their blog shows a Java migration costing 30K tokens with the right tool versus 61M without. When to pick this? If you're managing dozens or hundreds of repos and need to apply consistent migrations or security fixes across all of them, Moderne's deterministic recipes are a huge time saver. The same recipe applies the same way everywhere, so you don't have to audit thousands of changes. When to pass? If your team is small, works on a single repo, and handles changes manually, the overhead of setting up LST and agents isn't worth it. Also, if you're not yet using coding agents, Moderne's agent-focused features won't help you. Compared to alternatives like SonarQube or manual refactoring, Moderne is in a different league for multi-repo deterministic changes. The caveats: it relies on OpenRewrite LST, which has strong support for JVM languages but may be less mature for others. Also, the tool is enterprise-oriented, so pricing is likely high and not public.
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Real-world workflow fit
Concrete scenarios for the personas Moderne actually fits — and what changes day-one when you adopt it.
Needs to upgrade all repos from Java 11 to Java 21 and fix log4shell across the fleet.
Outcome: Uses PreThink to index the codebase, runs a composite recipe that chains 70+ edits, and lands synchronized PRs across all repos in hours with zero regressions.
Critical OWASP vulnerability disclosed; must remediate before audit.
Outcome: Selects the existing recipe from the library, applies it across all repos via Moderne's agent tools, gets transform log for compliance, and fixes 38,000 call-sites in one go.
Evaluating coding agents but worried about token cost and accuracy for large-scale changes.
Outcome: Integrates Moderne's MCP with existing agent (e.g., Claude 4 Opus), reducing token spend by 80% while ensuring deterministic, auditable changes.
Use Cases
- Migrate thousands of Java repositories from Spring Boot 2 to Spring Boot 3 deterministically.
- Remediate a critical vulnerability (e.g., log4shell) across the entire codebase with verified transformations.
- Provide coding agents with precomputed architectural context via PreThink before they reason.
- Coordinate a multi-repo library upgrade with synchronized PRs and full traceability.
- Search across a large code estate faster than grep using LST-based index.
Limitations
- Moderne is purpose-built for agent-driven, large-scale change.
- It requires an existing agent infrastructure and is not a standalone IDE plugin.
- Pricing is custom/enterprise; no self-serve or free tiers.
- The platform may be overkill for small codebases or simple refactoring tasks.
as of 2026-06-29
Where the pricing makes sense
The company stage and team size where Moderne's pricing actually pencils out — and where peers do it cheaper.
Moderne is priced for enterprises with large multi-repo codebases. Unlike per-seat tools like GitHub Copilot, Moderne's value scales with repo count. For smaller teams, it's cost-prohibitive compared to open-source OpenRewrite or cheaper static analysis tools.
Setup time & first value
How long it actually takes to get something useful out of Moderne — broken out by persona, not the marketing-page minute.
For enterprises with existing CI/CD pipelines, initial LST generation across repos may take a few hours per repo. After that, recipe application is near-instant. Expect 1-2 weeks for full onboarding including agent integration and team training.
Switching to or from Moderne
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Manual Migrations: Moderne automates with deterministic recipes, reducing effort from weeks to hours.
- →From OpenRewrite CLI: Moderne adds multi-repo coordination, agent tools, and governance on top of same recipes.
- ↗To OpenRewrite CLI: Open-source recipes run locally; lose multi-repo coordination and agent tooling.
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