Writing · Tag
10 posts tagged #python.
The cost gap between what an AI agent could cost and what it does cost is 40%. You close it at the call site, not in a dashboard. Here is how.
Amidst the big tech AI boom and new policy discussions, discover why building ethical, autonomous AI agents on consumer hardware is critical. Explore practical engineering insights and Python tips for true local control.
Agent skills are becoming a distribution layer for developer tools. The practical move is one source package that can show up in PyPI, Claude-style skills, and skills.sh.
Before you ship an AI agent for a client, prove budget caps, loop detection, alert proof, remote kill, and retained incident history.
The demo worked. Then the same CrewAI tool call retried until the run became an operator problem.
A trace tells you what happened. A kill switch changes what happens next.
OpenAI shipped guardrails in the Agents SDK last month. They validate behavior. They do not enforce spend. Here is the gap and how to close it.
Microsoft just shipped agent-sre on PyPI. Seven packages: SLOs, error budgets, circuit breakers. Here is what it does, what it does not, and why solo builders still need agentguard47.
One bad loop and an AI agent burned $200 in minutes. AgentGuard is a Python SDK that enforces hard cost limits at runtime — here is how to ship it.
I let an autonomous agent run 100 ML experiments while I slept. 7 succeeded. Net result: 25% model improvement. Here's the setup.
Real costs, real tools, no fluff. M-F when I ship, publish, or learn something worth sending.