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
News and updates
Agent Software Suite blog.
Product notes, release-readiness updates, docs changes, and staged commerce announcements for the suite.
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2 min read
Building around MCP without pretending MCP solves everything
MCP can improve interoperability, yet teams still need clear thinking about trust, workflow boundaries, and system behavior.
By Agent Software
2 min read
Agent Brain semantic caching: what it is, when it helps, and when it does not
Semantic caching is valuable when similar work repeats, but it becomes dangerous when superficial similarity hides changed requirements.
By Agent Software
2 min read
Local-first AI tooling: privacy, latency, cost control, and operational clarity
Local-first is not only a privacy argument. It also affects responsiveness, cost control, and operational clarity in developer workflows.
By Agent Software
2 min read
The terminal as an agent workspace: context, speed, and human override
The terminal is becoming a core agent workspace, which means speed alone is no longer enough. Context and override matter too.
By Agent Software
2 min read
Agent Terminal: rethinking the terminal for AI-assisted development
Agent Terminal is about giving AI-assisted execution a better workspace, not about pretending the shell should disappear.
By Agent Software
2 min read
What makes an effective eval harness for coding agents
An effective agent eval harness needs scenario design, clear pass criteria, and enough operational realism to catch regressions that demos hide.
By Agent Software
2 min read
Designing a shared memory layer for Claude, Codex, Gemini, and Cursor
Cross-tool memory gets useful only when it distinguishes durable context from stale noise and keeps retrieval tied to real workflow needs.
By Agent Software
3 min read
The coordination problem in AI coding: why separate tools fail when context is fragmented
The hard problem in AI coding is not getting one model answer. It is coordinating state across tools, time, and human decisions.
By Agent Software