For engineering teams shipping with coding agents
Make every coding-agent session better.
Observe agent behavior. Find wasted work. Measure the result.
The loop
Observe, improve, measure — then repeat.
A closed loop for agent-driven development: see what the agent actually did, act on evidence, and confirm the result in the numbers.
- 01
Observe
Session traces, tool calls, and token usage — captured from every coding-agent session, in one place.
- Session traces
- Tool calls
- Token usage
- 02
Improve
Evidence-based recommendations drawn from what actually happened, each with an implementation guide.
- Evidence-based recommendations
- Implementation guides
- 03
Measure
Mark recommendations applied, then compare later sessions to see whether the improvement held.
- Mark applied
- Compare later sessions
Inside the product
See the work. Make the next session better.
Follow one session through the real Sage Observe interface. Explore the evidence, open a guide, and compare what happened next.
Observe
A session is more than its final answer.
Open “Refactor auth middleware” and see the tokens, tools, and recommendations in one place. Choose a metric to look a little closer.
A starting point for the comparison. Inspect token usage alongside the session’s actual tool calls.
Understand
Follow the evidence, all the way to the tool call.
A repeated read is easier to understand when you can see its input and result. Select an event from this sample trace.
Input rg -n "authorize|permissions" src/auth tests/auth
Result src/auth/middleware.ts:42
tests/auth/middleware.test.ts:18 · successful
Improve
Give the next session a better starting point.
The finding is “Bound repeated repository reads.” Open its example guide, then copy the steps for your next coding-agent session.
- Search the relevant directory once.
- Reuse reads while files remain unchanged.
- Stop after three investigation rounds, then validate.
Measure
See what changed in the follow-up.
After “Bound repository reads,” compare the baseline with the average of two later sessions. Switch between tokens and latency to explore the recorded change.
1 baseline · average of 2 after sessions · synthetic demo data
Agent work is mostly invisible
Sessions run for minutes at a time and produce a stream of tool calls nobody reviews. Sage Observe makes that stream legible.
Recommendations need evidence
Every suggestion points at specific sessions and traces, and ships with a guide for putting it into practice.
Improvements need a baseline
Mark a recommendation applied, and later sessions are compared against what came before it.
Make every coding-agent session better.
Observe agent behavior. Find wasted work. Measure the result.
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