AI & Agents
31 posts on AI & Agents.
AI can find it, but can you fix it everywhere? The playbook for secure code at scale
Detectors surface findings faster than teams close them. A recipe-driven playbook for automated vulnerability remediation across every layer of your stack.
Type-aware code search, all the way up the chain
A grep can't tell you List.add is really Collection.add. Trigrep resolves the whole type chain in the index, so a coding agent gets the answer in one query.
Moderne is a Gartner® Magic Quadrant™ Leader. The difference is determinism.
Rule-based tools can beat a purely LLM approach at refactoring, per Gartner. How the LST and OpenRewrite recipes make modernization verifiable, not probable.
AI didn't break coding. It broke code review.
Agents ship code faster than teams can review it. Go inside Morgan Stanley's fix for the AI code review bottleneck: risk-based PR routing at scale.
Agentic coding alone can't close the Mythos remediation gap
Mythos made discovery cheap. Closing the vulnerabilities it finds is a different problem. Why agentic coding alone won't close the remediation gap.
Code generation was the easy part
Six engineering leaders on what gets hard after AI writes the code.
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 the agent tools layer: the LST, local MCP, Prethink, and Trigrep search.
Context engineering: why AI coding agents spend most of their tokens reading, not writing
Only 3% of engineers said token cost was their biggest AI coding problem. 42% said agents don't fit their architecture. Why context engineering is the real fix.
Moderne gives coding agents deterministic tools
The Moderne CLI runs a local MCP server that gives coding agents indexed search, LST-backed semantic analysis, and deterministic recipe execution in the repo.
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 where agents read them.
AI writes code faster than teams can trust it: Quality context is the answer
AI coding agents write code faster than most quality processes were built to handle. The problem isn't the agent — it's that quality intelligence lives on dashboards they never see. This post explains how Moderne Prethink puts code quality metrics directly in the repository, where agents read them automatically before writing a single line.
The first user of your dev tools is no longer a developer
What happens when coding agents use tools designed for humans? Jonathan Schneider on the four tooling gaps costing your agents time and tokens.
The PR is the easy part: What Netflix, Airbnb, and LinkedIn taught me about automated code changes at scale
Engineering leaders from Netflix, Airbnb, and LinkedIn share how they build developer trust in automated code migrations — from shadow validation to PR attribution to migration fatigue.
From grep to Moderne Trigrep: Faster, token-efficient code search for agents and large codebases
Moderne Trigrep is indexed, type-aware code search that returns sub-second results across thousands of repositories, for developers and coding agents.
Changing the AI context: How Moderne Prethink accelerates coding agents and reduces token use
Moderne Prethink gives coding agents pre-resolved codebase context so they work faster, use fewer tokens, and hallucinate less in large codebases.
How to write OpenRewrite recipes with a coding agent
Coding agents write working OpenRewrite recipes, and the right conventions up front make them better. What to give them, a worked example, and habits that help.
AI-driven code maintenance: What works at Meta, Google, and other large enterprises
Why AI succeeds—or fails—at code maintenance in large enterprises. Lessons from Meta, Google, DX, and Moderne on risk, metrics, and scale.
Modern, scalable AppSec: Advances in automation and AI security
Learn how to modernize AppSec with automated fixes for legacy code, AI security threats, and compliance needs.
Autonomous testing and the future of developer productivity
Learn how autonomous testing, AI, and intelligent profiling are redefining enterprise codebase management and developer productivity.
Banks modernize legacy code at scale with deterministic recipes and coding agents
How banks and financial firms modernize legacy code without a rewrite: code as data, deterministic OpenRewrite recipes, and coding agents that call them.
Tech debt, AI, and the future of software engineering: Lessons from GartnerAPPS 2025
Explore what the 2025 Gartner Application Innovation Summit revealed about modernizing legacy systems, managing tech debt, and navigating the real impact of AI-powered development tools.
Rethinking enterprise code at scale: AI, tech debt, and testability
In this panel recap from Code Remix 2025, learn how engineering leaders are tackling tech debt, boosting testability, and using AI and automation to modernize massive codebases.
Moderne’s multi-repo AI agent for transforming code at scale
Moddy, the agent in the Moderne Platform, works across thousands of repositories with deterministic recipes. How it works, and how your own agent can too.
What are embeddings, and why are they great for code impact analysis?
Explore how embeddings can be a powerful tool for searching and analyzing large codebases with the help of the Moderne Platform.
AI code search at scale: Finding method invocations with natural language
Discover the power of searching your entire codebase for method invocations using OpenRewrite recipes that leverage a two-phase AI pipeline.
Safe, efficient ways to use AI for mass-scale automated refactoring and analysis
See how Moderne is pioneering the safe and efficient use of AI for automated code refactoring and analysis at mass scale.
Deploying AI LLMs on CPUs: Navigating efficiency and scalability
Learn about our real-world implementation of LLMs on CPUs for mass-scale code refactoring and analysis work within the Moderne Platform.
Announcing AI-assisted refactoring in the Moderne Platform: Where a computer gets AI
Learn how the Moderne Platform has integrated AI LLMs into OpenRewrite recipes to assist refactoring, migration, and impact analysis use cases.
Find personally identifiable information (PII) and secrets exposed by your APIs
Learn how to find personally identifiable information (PII) exposed by APIs and protect sensitive company data.
How to use generative AI for automating code remediation at scale
Learn how to use generative AI for automated code refactoring at scale and why code remediation needs more than an in-line AI assistant.
Moderne achieves SOC 2 Type 2 certification
Moderne is proud to announce that it has achieved the highest level of external audit certification, SOC 2 Type 2 - an extra layer of protection for our users.
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