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How our universal content processing platform Riviera evolved for AI and beyond

Riviera is the Dropbox content processing platform that’s been iteratively improving content transformation in our products for roughly a decade.

How we used DSPy to turn AI evaluations into better responses in Dash chat

We used DSPy to improve LLM judges and optimize our chat experience, creating an evaluation-driven feedback loop that produced better outputs.

How Dropbox uses MCP and Dash to close the design-to-code security gap

Using an agentic AI system to surface threat models during code review and spot gaps between security requirements and implementation.

Beyond code generation: rethinking engineering productivity in the age of AI agents

How Dropbox is moving from AI tools that assist engineers to agentic systems that can execute scoped tasks, and how we’re building platforms to support those workflows.

Introducing Nova, our internal platform for coding agents

Nova lets engineers run multiple coding sessions in parallel and lets internal systems use AI agents as part of automated workflows.

Improving storage efficiency in Magic Pocket, our immutable blob store

By turning compaction into a layered, adaptive pipeline and strengthening our monitoring and controls, we made Magic Pocket more resilient to workload changes.

Reducing our monorepo size to improve developer velocity

Monorepos will continue to grow as products evolve, but growth doesn’t have to mean friction.

How we optimized Dash's relevance judge with DSPy

We used DSPy to turn prompt engineering for our relevance judge into a measurable, automated optimization loop, improving task performance, cost, and how reliably it works in production.

Using LLMs to amplify human labeling and improve Dash search relevance

How we train Dash's search ranking models with a mix of human and LLM-assisted labeling.

How low-bit inference enables efficient AI

Making products like Dropbox Dash accessible to individuals and businesses means tackling new challenges around efficiency and resource use.