Greptile raised a $50M Series B led by Menlo Ventures.
Resources on AI code review tools and developer productivity
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What API security is, the OWASP API Security Top 10 risks with real examples from open source PRs, seven best practices to start with, and how to test your APIs with static scanning, dynamic testing, and runtime validation.
A tongue-in-cheek list of Greptile alternatives, from printing out your code to hiring a lizard, with pros, cons, and a comparison table for each.
How to tell if code was written by AI: detection methods, seven common tells, the bug patterns that show up more often in agent-written PRs, and why knowing where AI code lives should change how you review it.
A monorepo keeps every project, library, and service in one repository. Learn how monorepos compare to multi-repos and monoliths, the real pros and cons, best practices, the build tools worth knowing, and why context matters for AI and code review in a monorepo.
A sandbox is an isolated, disposable environment where code can run without touching anything else. Learn how sandboxes work, what teams use them for, how to set one up, and why they matter more now that agents write so much of the code.
How Greptile uses Infisical to keep every secret in one store and let its AI review agents call customer services without ever holding the credentials.
What automated code review is, how it differs from traditional and AI code review, the six types of code review automation tools, and why linters and SAST alone are no longer enough as agentic coding grows.
The best AI coding tools for solo developers in 2026, compared by where they fit in the software development lifecycle: writing code, prototyping, reviewing, testing, and background automation. Plus which tools fit which languages.
We compare five of the best SAST tools (Semgrep, Checkmarx One, Snyk, Aikido, and GitHub CodeQL) on core functionality, languages, pricing, and fit, plus why static scanning needs runtime testing and full-codebase review alongside it.
What flaky tests are, what causes them, how to detect them, and 12 ways to fix them. Plus why end-to-end tests are more prone to flakiness, and how seeing what actually happened during a run helps you tell a test problem from a code problem.
How self-hosted AI code review works on GitLab Self-Managed and GitHub Enterprise Server, how it compares to SaaS review tools, what to look for in a self-hosted tool, and what a self-hosted rollout actually takes.
A 4-step framework for evaluating code review tools on large teams with complex codebases: define what you need, build a shortlist, run a live test, and get developer feedback. Plus a shortlist of tools and how to future-proof your review process.
What code review is, how traditional, automated, and AI code review differ, and why review is now the bottleneck as AI writes more code. Plus how to pick a code review tool that catches real bugs.
Source code management is more than branching and merging. Here is how SCM works, the top tools, the best practices, and why good code review is the foundation of source control in an agentic era.
Pull requests protect your codebase, but traditional PR workflows are becoming the bottleneck as AI writes more code. Learn what pull requests are, how to create one, and how to automate PR review so velocity and trust scale together.
Nine pull request automation tools compared on features, use cases, pricing, and user feedback, so you can work out which one closes the gap between how fast your team writes code and how fast it can review it.
The best code quality tools that catch bugs, security vulnerabilities, and runtime errors, sorted by language, with type, noise level, cost, and who each one is for.
The five types of shift-left testing, the benefits and limitations of each, and how the approach changes when agents write and review a growing share of your code.
The best AI coding tools for complex codebases, ranked on accuracy, suggestion quality, and full-codebase context. See which ones you can actually trust.
The six best security-focused AI code review tools, compared on SAST, SCA, DAST, and full-repo context, so you can pick the one that fits your codebase and your cycle times.
What engineering leaders need to know about agentic coding: how it differs from AI coding and vibe coding, how it works, the benefits and risks, and the tools worth evaluating.
Greptile ranks #1 on Martian's independent online AI code review benchmark, leading all evaluated tools in F1 score and precision with near-leading recall.
The best developer productivity tools in 2026, compared by the workflow problem they solve: code review, autocomplete, AI-native editing, terminal agents, code search, observability, and security.
The best code review tools in 2026, compared on pricing, features, deployment options, and ideal use cases for teams of any size.
A code review checklist and best practices organized around three layers — Mechanical, Structural, and Narrative — that help any team improve code quality without slowing reviews down.
Affordable, lightweight AI code review tools that help small teams catch bugs faster. Practical comparisons of accuracy, ease of use, and value for teams without enterprise budgets.
Top-rated AI code review tools for GitHub teams in 2025. Compare features, pricing, and accuracy to find the perfect fit for faster PR reviews and bulletproof code quality.
7 powerful CodeRabbit alternatives ranked by real dev teams. Feature comparison, pricing analysis, and honest reviews to find your perfect AI code reviewer.
A breakdown of the best alternatives to Graphite for code reviews. Compare AI tools like Trag, open-source solutions like Gerrit, and database-focused platforms like Visual Expert.
Enterprise-grade AI code review tools for GitLab teams. In-depth comparison of accuracy, security, and integration features to accelerate your merge request workflows.