Why an All-in-One Data Foundation Matters: Harness, Tape, and a Database-Native Path
Article summary
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From model + Harness to Tape and one data foundation — why agent runtime data should live in the database from the first line of code. Photo by Brett Jordan on Unsplash The agent race is quietly shifting from the model layer to the data layer. When agents run, they produce vast volumes of semi-structured trace data — high-frequency writes, long lifecycles — and traditional database architectures struggle to keep up. Shuttling that data back and forth across observability platforms, vector…
1Key Takeaways
- From model + Harness to Tape and one data foundation — why agent runtime data should live in the database from the first line of code.
- Photo by Brett Jordan on Unsplash The agent race is quietly shifting from the model layer to the data layer.
- When agents run, they produce vast volumes of semi-structured trace data — high-frequency writes, long lifecycles — and traditional database architectures struggle to keep up.
- Shuttling that data back and forth across observability platforms, vector….
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that from model + Harness to Tape and one data foundation — why agent runtime data should live in the database from the first line of code.
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