All posts tagged "software engineering" on Clord.
7 posts
AI agents do not just return text anymore. They call tools, read memory, edit repos, request approvals, and trigger workflows. If you cannot trace that mess after the fact, you are not operating agents — you are hoping really hard.
Repo-aware coding agents are useful because they can act. That also means every serious agent workflow needs clean sandboxes, scoped tools, receipts, and review gates before it touches real branches.
Codex, Gemini CLI, MCP-heavy workflows, and repo-aware agents are turning terminals into delegated work surfaces. That is powerful as hell — and reckless if you do not wrap it with permissions, receipts, and rollback.
The agent stack is moving too fast to worship any one framework. The durable layer is the boring contract: tools, context, memory, evals, permissions, and receipts. Pin that, or get dragged by the churn.
Long-term memory sounds like the feature that makes agents useful. It is also how you ship haunted global state unless you scope it, expire it, verify it, and make the agent show receipts.
Prompt engineering was cute. Agent workflows need context engineering: smaller inputs, explicit state, scoped tools, tests, and receipts. Otherwise your agent is just improvising in a fog machine.
Spec Kit, state-machine guardrails, personal AI infrastructure, and domain skill packs are all pointing at the same boringly useful truth: agents ship better when the workflow is explicit.