2 min read
Desktop app internals: a lightweight installer around a managed local service
A tiny installer and a managed background service are two different problems — Agent Brain deliberately keeps them separate.
By Agent Software
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2 min read
IP-hardening a Python product: compiled binaries, no source in production
A .py file in a production image is a README for anyone who wants to see exactly how your product works — compiling it away closes that door.
By Agent Software
2 min read
Building an execution-memory loop: how outcomes feed back into recall
A memory layer that only stores plans, not outcomes, is missing the half of the record that actually teaches an agent anything.
By Agent Software
2 min read
Why modular agent products beat monoliths for serious engineering teams
Monoliths promise simplicity, but modular tools usually match how engineering teams actually adopt new workflow infrastructure.
By Agent Software
2 min read
The unsolved interface problem between humans and coding agents
The interface problem is not cosmetic. It determines whether human oversight is practical or exhausting.
By Agent Software
2 min read
Where local models help, where they still fall short
The right argument for local models is selective advantage, not the claim that they already dominate every serious engineering task.
By Agent Software
2 min read
What we cannot automate yet in developer workflows
The limit is not that models are useless. The limit is that some engineering work still depends on judgment, trust, and changing context.
By Agent Software
2 min read
Why most AI agent demos do not survive contact with production workflows
The gap between agent demos and production workflows comes from context quality, task realism, and the absence of repeatable evaluation.
By Agent Software
2 min read
Open problems in agent memory: stale context, conflict resolution, and trust
Agent memory remains unsolved around freshness, contradiction, and trust boundaries even when retrieval quality improves.
By Agent Software