Sentry, the leading vendor of application observability and error monitoring, has unveiled Seer Agent, an innovative new capability that represents a breakthrough in the company’s existing portfolio of intelligent debugging solutions. Seer Agent empowers engineers to troubleshoot and repair their applications through natural language queries, making it possible to understand what’s going on in the background of increasingly complicated and distributed environments.
Today’s software is more complex than ever before, and as a result, logs, traces, and other metrics tend to generate massive amounts of data that can be difficult to analyze and understand. By analyzing all available telemetry data, including errors, spans, logs, traces, and code context from Sentry, Seer Agent solves the problem of “data fatigue.”
This latest development by Sentry heralds an important evolution from code generation tools to an advanced reasoning solution.
“When something breaks in production, you’re working across errors, spans, logs, metrics, and more, simultaneously. The volume of data alone makes it hard to know where to start,” said Indragie Karunaratne, Senior Director of Engineering, Sentry. “Seer Agent queries all of the sources, connects the relevant signals, and identifies what went wrong and where. Investigations that used to take hours now take minutes.”
The Solution for a Disconnected Code Era
The rise of AI-assisted coding has accelerated development cycles but introduced a new complexity: a growing disconnect between developers and the code they manage. When teams are no longer hand-writing every line, diagnosing incidents becomes inherently more difficult. Seer Agent acts as an intelligent layer of reasoning, allowing developers to ask high-level questions such as:
- “Why is this specific page experiencing latency spikes?”
- “What caused the sudden increase in 500 errors after the last deploy?”
- “Which microservice is responsible for the bottleneck in this user flow?”
Also Read: C3 AI Unveils ‘C3 Code’: Redefining Enterprise AI Development by Transforming Natural Language into Production-Grade Applications
Multiplayer Debugging: Now in Slack
Recognizing that incident response is a team sport, Sentry has integrated Seer Agent directly into Slack. This integration transforms debugging into a “multiplayer” experience, where entire teams can swarm an issue in a shared channel. Team members can redirect the agent’s reasoning mid-step, provide additional context, or observe the agent’s logic to better understand the system’s architecture.
“In Slack, the investigation becomes multiplayer. The dev team can swarm an incident, redirect Seer mid-step, and leave the thread behind as a record of how it got solved,” noted Karunaratne.
Key Capabilities of Seer Agent:
- Natural Language Investigation: Simplifies complex querying by allowing developers to speak to their data without needing to master specialized query languages.
- Deep Contextual Connectivity: Automatically surfaces hidden relationships across disparate data types, such as linking a specific log entry to a performance span in a different service.
- Agentic Reasoning: Walks through evidence in real time, filtering out noise to highlight the root cause of an incident.
- Actionable Handoffs: Integrates with coding agents like Cursor and Claude Code, turning Seer’s analysis into immediate code fixes and pull requests.
Sentry’s commitment to developer productivity is rooted in a decade of building production telemetry. With Seer Agent, the company continues to evolve from a monitoring tool into an end-to-end intelligence platform for the modern SDLC.
