# How to avoid knowledge decay in software engineering

> Source: <https://leaddev.com/ai/how-to-avoid-knowledge-decay-in-software-engineering?utm_source=leaddev&utm_medium=RSS>
> Published: 2026-07-29 07:36:50+00:00

Estimated reading time: 6 minutes

**Key takeaways:**

**Software engineering knowledge decay is structural**. Fast cycles and churn strip context, even from teams that try to document.** Most code work is upkeep:**only 15-20% is new, the rest is modernization and maintenance.- AI’s real value is in capturing the
**reasoning behind code**, not just the code itself.

In software engineering, knowledge decay has some long-lasting effects. Most of us have experienced a colleague who [unexpectedly departs their job](https://leaddev.com/hiring/3-ways-to-bounce-back-from-sudden-team-cuts), leaving the rest of the team scratching their heads to fill in the gaps. Perhaps their day-to-day work was never jotted down.