No token tax: why Quell ships zero mandatory AI
If your team already pays for a coding agent, why should its feedback tool sell you another pile of tokens? The case for a deterministic feedback rail and flat seats.
The Quell Blog
Notes from building a feedback product around coding agents: what worked, what was only a neat claim, and which boring design decisions mattered more than the model.
Most bug reports discard the evidence an agent needs, then blame the agent for guessing. This is the shape of a better handoff: the report, the runtime context and the resulting change.
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If your team already pays for a coding agent, why should its feedback tool sell you another pile of tokens? The case for a deterministic feedback rail and flat seats.
The dangerous sentence in agent software is "it can do this automatically". Trust levels answer the missing question: on whose authority?
Claude Code can search your codebase. It still cannot see the bug report sitting in another inbox. Give it evidence through a read-only MCP connection first.
The MCP connection is the easy part. What the agent gets when it calls get_context is what determines whether the connection is useful.
AI builders have made shipping a v1 a matter of hours. The harder problem starts the day after: knowing what broke. Here is what the Observe step looks like.
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