Moderne transforms how coding agents work

Most coding agents fall back on ripgrep or vector search, then burn tokens reading files to confirm what they found. Trigrep's trigram index is built from the LST which includes type and symbol data so the initial search is the final answer. No follow-up reads. Sub-second results across your entire organization.

Near constant speed at 5B plus lines.

Agents waste their most expensive tokens at the start of every session, re-generating architectural understanding from scratch. Prethink runs CPU-only static analysis, so structured context is ready before the agent even begins.

Precomputed architectural, dependency, and quality context.

For large migrations, agents without tools burn millions of tokens re-learning what a recipe already knows making naïve scripting attempts, hitting edge cases, starting over. With Moderne recipes, one tool call replaces the entire loop.

Deterministic code transformations. Same recipe, same result.

Pull requests, commits, and agent-driven updates scatter across GitHub, GitLab, Bitbucket, and internal SCMs. Changelog overlays your existing systems and gives you a portfolio-wide view of change, scoped to your organization. Approve, merge, or close PRs across repositories in bulk. Coordinate large-scale initiatives from one place instead of dozens of tabs.

From source control to change control.

Enterprises running AI coding agents at scale have no shared view of what those agents actually do. Transcripts capture every agent session across your organization, surfacing where tools fall short, where governance needs to tighten, and where new recipes would replace expensive patterns. The byproduct of using Moderne becomes the roadmap for improving it.

Every agent session makes the next one smarter and more effective.