AI can write user stories in seconds, but most are disconnected from your codebase. Here's how to generate stories that match your actual code capabilities.
Product managers need code awareness, not more dashboards. Here's what separates winning AI PMs from those drowning in feature backlogs in 2025.
Most AI code reviewers catch formatting issues. Here's what tools actually find logic bugs, race conditions, and security holes—and why context matters.
AI code optimizers promise magic. Most deliver chaos. Here's what actually works when you combine AI with real code intelligence in 2026.
Raw code metrics lie to you. Stop drowning in file-level data. Learn how context intelligence platforms turn code into features, ownership, and strategy.
How automated feature discovery and competitive gap analysis accelerate M&A technical evaluation from months to days.
CODEOWNERS files are always stale. Git history tells the truth about who actually maintains, reviews, and understands each part of your codebase.
Story points, lines of code, and PR count don't measure what matters. Here's what to track instead.
Wikis are always stale. Auto-generated feature catalogs from code analysis are always current. Here's the difference.
Automated competitive gap detection that scans competitor features and maps them against your codebase. Real intelligence, not guesswork.
Knowledge concentration is a ticking time bomb. When a key engineer leaves, the blast radius extends far beyond their code.
Manual feature mapping is expensive, incomplete, and always stale. Graph-based automated discovery finds features humans miss. Here is the algorithm.