Moderne has expanded its Agent Tools platform with the launch of Moderne Trigrep, a high-speed code search capability engineered to accelerate AI-driven coding agents across large, multi-repository enterprise environments. With this latest addition, the company strengthens its position in AI-powered software engineering by focusing on execution efficiency at scale.
As enterprises increasingly integrate coding agents into production workflows, performance and precision have become non-negotiable. While broad, exploratory scans may be manageable in smaller environments, they quickly become inefficient across expansive software estates. In fact, scanning entire codebases introduces unnecessary compute consumption, increased latency, and rising operational costs. Therefore, organizations require smarter infrastructure to support scalable automation.
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To address this challenge directly, Moderne introduced Trigrep.
Trigrep leverages Zoekt-compatible trigram indexing to enable rapid code discovery. More importantly, it builds indexes from OpenRewrite’s Lossless Semantic Trees (LSTs). Instead of indexing raw source files, it extracts both structural and source-level data from a compiler-accurate representation of the code. As a result, Trigrep operates on precomputed trigram indexes, ensuring search results are based on pattern matches rather than repository size. Consequently, discovery remains consistently fast even across massive, distributed codebases.
Because Trigrep narrows the execution surface before automation begins, it significantly improves downstream analysis and transformation workflows. By reducing the number of files and repositories that require semantic analysis, the platform minimizes unnecessary processing and accelerates agent-driven tasks. In enterprise settings where milliseconds matter, this optimization translates directly into measurable efficiency gains.
“The infrastructure that optimizes how agents execute is becoming as important as the models themselves,” said Jonathan Schneider, CEO and co-founder of Moderne. “Trigrep delivers sub-second discovery that narrows the execution surface before automation begins. At enterprise scale, speed and precision are what keep agent-driven engineering efficient.”
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Unlike conventional code search tools designed primarily for developer browsing, Trigrep functions as an execution primitive within the Moderne control plane. It supports literal, boolean, regular-expression, and structural pattern-matching queries. Additionally, it persists search results, enabling seamless integration into downstream automation workflows.
Notably, Trigrep remains agent-agnostic. This design ensures compatibility across diverse AI-driven engineering workflows within enterprise ecosystems. When deployed within the Moderne platform, it operates inside a governed orchestration layer that spans organization-scoped repository sets, reinforcing compliance and operational control.
As organizations continue operationalizing AI agents across their software portfolios, execution infrastructure is rapidly emerging as a mission-critical layer. While model intelligence determines what changes are possible, execution efficiency ultimately determines whether those changes can scale effectively.
With the introduction of Trigrep, Moderne further advances the foundational infrastructure required to make agent-driven software engineering both practical and sustainable in enterprise environments.
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