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The Hidden Cost of AI-Accelerated Development
As AI generates code at unprecedented speeds, critical architectural context evaporates. Without a proper memory layer, engineering teams build on foundations they increasingly don't understand.
Context Fragmentation
Important decisions are scattered across chat logs, PRs, and engineers' minds—most teams lose up to 85% of architectural context when relying on tribal knowledge.
Documentation Decay
Traditional docs can't keep pace with AI-accelerated development, quickly becoming outdated and leaving teams without reliable records of why decisions were made.
Blind Confidence
Engineers merge AI-generated code without understanding system-wide impact, moving from hoping changes work to costly production incidents that could have been prevented.
Arc: Your Engineering Memory Layer
Capture the why. Predict the impact. Prove it works.
Arc preserves the critical context behind every code change and shows you exactly how new changes will affect your system before you hit merge—turning hope into certainty in the era of AI-accelerated development.
See How Arc Works
When reviewing this authentication service change, Arc shows you:
The original design decisions behind the code
The predicted impact of the change
Proof that the change was properly tested
Arc highlights potential issues before they reach production, keeping your system reliable even as development accelerates.