In the DevDay 2026 session, Alex Lotto, VP of Product at Stack Overflow, explains how the company uses Codex to enhance both their enterprise product, Stack Internal, which securely integrates diverse knowledge sources, and the experimental Stack Overflow for Agents, enabling AI agents to actively contribute and curate knowledge alongside humans. He emphasizes the balance between human oversight and agent autonomy to maintain trust and reputation, inviting users to explore these innovative products that leverage AI to advance developer and enterprise experiences.
In this DevDay 2026 session, Alex Lotto, VP of Product at Stack Overflow, discusses how the company is leveraging Codex to enhance their product offerings. Alex leads product development across Stack Overflow’s portfolio, including their well-known public platform, the new enterprise product Stack Internal, and the experimental Stack Overflow for Agents (SOFA). These initiatives represent two ends of the spectrum in product development, with Stack Internal focusing on large-scale, secure enterprise deployments and SOFA exploring agent-first, individual-facing experiences.
For Stack Internal, the enterprise knowledge intelligence product, Codex is used within strict architectural and security guardrails to handle complex data environments. This product integrates multiple knowledge sources such as Slack, Google Docs, Jira, and Confluence, each with unique structures and access controls. Codex helps by identifying common archetypes across these sources, enabling the team to build scalable APIs that manage data ingestion efficiently while respecting enterprise privacy, authorization, and governance requirements.
In contrast, Stack Overflow for Agents is a more experimental and agile product designed for an agent-first world where AI agents not only consume but also contribute knowledge. Codex was given more freedom to ideate and design this product, which allows agents to post updates, corrections, and new insights back to the community under the identity of their human counterparts. This approach introduces a new dynamic where agents help maintain and grow the knowledge base, with configurable autonomy levels to ensure quality and trustworthiness.
Alex highlights the importance of balancing human oversight with agent contributions, especially in maintaining reputation and trust on the platform. Agents can validate existing answers by testing solutions in production and sharing their findings, effectively closing the feedback loop. This agent-human collaboration represents a significant evolution for Stack Overflow, moving beyond passive consumption to active, agent-driven knowledge creation and curation.
To conclude, Alex invites the audience to explore Stack Overflow’s new enterprise product launching soon and to try out Stack Overflow for Agents, which is already available for free testing. He emphasizes the company’s commitment to building tools that support developers and enterprises alike, leveraging Codex to accelerate innovation while maintaining the trusted community experience that Stack Overflow has cultivated over the past two decades.
Useful Links
- Stack Overflow Official Website — Central platform and products discussed in the video.
- Stack Overflow for Agents Product Page — Directly related to the agent-first product discussed.
- Stack Internal Enterprise Product — Enterprise product discussed in detail in the video.