How Tanagram Catches Semantic Version Drift Before It Becomes a 50-Hour Outage Like Azure October 2025
The Azure 29th October 2025 outage wasn't a bug, it was undetected semantic drift between concurrent control plane versions. See how Tanagram's self-updating guardrails validate semantic consistency across versions before deployment, before staging, before production.
How Tanagram Prevents Configuration Failures Like the Cloudflare Bot Management Incident
Cloudflare's November 2025 Bot Management incident shows why configuration validation fails in CI/CD pipelines. A config file exceeded buffer limits, passed schema validation, and caused production failures. Learn how Tanagram's rules engine catches buffer overflows, cross-system dependencies, and infrastructure constraints during code review and agent generation by codifying tribal knowledge from past incidents into enforceable rules that prevent configuration failures before deployment.
Tanagram is now available as a CLI and agent skill — a new way to enforce your team's coding rules directly in Claude Code and other coding agents.
Getting started is simple:
npm install -g @tanagram/cli
tanagram login
That's it. Once installed, Claude Code will automatically check your changes against your team's Tanagram rules. When a rule is violated, Claude sees the feedback and fixes the issue itself.
Under the hood, the CLI adds a Claude Code skill that runs tanagram eval after code changes. Your rules are synced from your Tanagram account and cached locally, so evaluation is fast.
Give it a try and let us know what you think.
We've renamed 'policies' to 'rules'. The term 'policy' felt a bit too formal; it makes you feel like something that restricts you, rather than something that empowers you. Talking to users, it's also a less familiar term; instead, 'rule' was a term that readily came to mind for everyone.
So, as of today, policies are dead … long live rules.
We previously shipped suggested policies in private beta. They are now generally available for all users as part of our refreshed onboarding flow.
Try them out and let us know relevant the suggestions are for you.
How to Efficiently Manage AI Coding Tools
Here's what nobody tells you about managing AI coding tools: the hardest part isn't getting developers to use them. It's preventing the mess they create when everyone uses them differently.
For select users, we'll new automatically suggest policies based on your repo history. You can review and accept suggestions, which will turn them into rules that will run on every PR.
If you have access, take a look at the suggestions we've generated for you and let us know how relevant they seem.
Enhancing Code Quality with Automation
Here's what nobody tells you about code quality automation: the tools are easier than the cultural shift. The real challenge isn't picking tools—it's capturing the knowledge your senior engineers carry in their heads and turning it into enforceable guardrails that work at scale.
We've made it easier to write policies — instead of the plain-text input box we used to have, we've brought in a markdown editor. For users who add a lot of detail to their policies, this should make the authoring and editing experience a lot nicer.
Comprehensive Guide to Mastering Engineering Knowledge Management
Your team's most valuable asset isn't your codebase. It's the collective knowledge of how and why that codebase works the way it does.
Managing Tribal Knowledge for Engineers: A Practical Guide
Every engineering team has that one person who can diagnose production issues in minutes while everyone else stares at logs for hours. When that engineer leaves, they take years of hard-won expertise with them.
How to Get AI Coding Tools to Handle Complex Tasks in 2025
Every developer has hit the wall with AI coding tools: they breeze through simple tasks but stumble on complex ones. Learn how to treat AI as a collaborator that needs structure, guardrails, and strategic delegation.
Mastering AI Coding Tool Deployment Across Teams
Here's a truth that most engineering leaders won't admit: deploying AI coding tools across your team requires the right infrastructure, or it won't deliver the productivity win you expect.
AI Agent Architecture Patterns for Code Review Automation: The Complete Guide
As AI adoption reaches 90% among developers in 2025, engineering teams face a critical challenge in maintaining code quality when AI coding agents are increasingly integrated into development workflows.
Why Code Review Policy Enforcement Matters More Than Ever in 2025
While the tech industry celebrated AI coding agents hitting 85% adoption across enterprises in 2025, a more critical story was unfolding. The same AI revolution that promised to accelerate development was simultaneously creating an unprecedented risk landscape.
The Complete Guide to AI Coding Agent Integration in Enterprise Environments
After watching dozens of companies navigate AI agent integration, some successfully and others not so much, I've learned that most guides miss the crucial details. This guide is based on real experiences from engineering teams who've been through the trenches.