Stop re-explaining projects to AI - persistent project memory across sessions

Stop re-explaining projects to AI - persistent project memory across sessions targets a $12.0B = 24M professional developers x $500 annual dev-tool spend (share of tooling market addressable by project continuity features) total addressable market with medium saturation and a year-over-year growth rate of 15%.

Key trends driving demand: AI code assistants adoption -- developers use AI assistants daily, raising demand for persistent session memory rather than one-off prompts; IDE and plugin standardization -- VS Code and JetBrains plugin ecosystems make embedding project memory practical across environments; Vector DB and retrieval augmentation -- cheap embeddings and vector stores enable low-latency retrieval of project-specific context at scale.