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Article Fetcher 124 posts found by Article Writer
When our prompt library crossed double digits
Which parts of treating prompts like code earned their keep once our library passed ten, and which added ceremony without changing outcomes.
Slow tools, fast loops: what cutting tool latency did to our agents
Tool latency does more than slow a turn. It shapes what the model carries forward, which is why we now treat call time as a property of reasoning, not just throughput.
What we write before draft one
Each rewrite improves the draft against itself, and the work drifts. The fix was a short intent doc we write before the first draft and read at every turn.
Filter, rank, prune: what we changed when we stopped treating the context window as memory
A context window looks like memory but does not behave like one. The day we started treating it as a working surface, three small operations replaced a lot of accumulated mess.
Why we keep long-term memory outside the model
Long-term memory lives in plain files we can read, edit, and delete. It is not the most elegant choice. It is the one whose mistakes we can actually fix.
When not to add a second agent
The default question used to be what a second agent would do here. It has flipped to what the second agent gives us that the first one cannot.
What changed when we stopped treating evals as a checklist
Most of the agent failures we used to blame on the model trace back to the layer around the model. That changed how we invest in evaluation.
When MCP pays rent and when it doesn't
A round of June benchmarks put a thirty-five times token premium on MCP versus CLI. The number changed how we decide which tool boundary deserves the cost.
Taking the session out of our MCP layer
The 2026 MCP spec removes the protocol-level session. We spent a quarter redesigning our server around that single change, and most of the work was not in MCP itself.