Biotech Drug Discovery AI Needs Institutional Memory
A practical Connectory use case for biotech and drug discovery teams that need shared org memory, PR evidence, and agent governance across scientific software.
Connectory: organizational memory for your whole company, plus PR reviews that use it. Free to start.
A practical Connectory use case for biotech and drug discovery teams that need shared org memory, PR evidence, and agent governance across scientific software.
AI-assisted PRs rose 20% while incidents climbed 23.5%. Data points to a 25-40% sustainable ceiling for AI-generated code before quality degrades. Here's how to monitor and enforce it.
Your best human reviewer is not a vulnerability scanner. Connectory adds OWASP-aware PR governance so AI-generated defects are caught before merge.
Test coverage percentage is a poor predictor of production reliability. Here are the leading indicators—Change Failure Rate, Review Depth Score, and rework rate—that actually tell you whether your codebase is healthy.
Copilot and Cursor code passes traditional review but fails 30-90 days later. The unique failure modes of AI-generated code demand new quality gates and longitudinal tracking.
Slow PR reviews don't just delay shipping-they compound into context switching costs, engineer burnout, and significantly longer wait times. Here's what the research reveals.