The text version of the prompt: "Look back over my recent work from the last 30 days using all available context. Use available evidence in this order:
– Session Memory summaries and MEMORY. md entries
– Git log and recent commit history across branches
– CLAUDE. md and
AUTOMATION
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Automated 30-day review of recent AI work using memory and git
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Engineer Uses Claude Code Agent to Audit and Delete Unused Redis Instances
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An Anthropic engineer pointed Claude Code at his old startup's infrastructure and told it to find ways to save money. It audited the full stack, identified 3 unused Redis instances he'd been paying for, proposed deleting them, and after he approved each step, executed the
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Agentic Tools for Automated Test Case Writing
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Depends on the job. Quick checks, curl still wins. Real suites, an agentic tool that writes and maintains the cases.
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Directing AI Agents: The Future Skill Beyond Prompting
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One catch though. The bright future goes to people who can direct an agent and check its work. Direction on its own just builds a faster mess.
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AI Agents Beyond LLMs: Orchestration and Architecture
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AI agents are more than LLMs • Skills → expertise
• MCP → external connections
• Subagents → delegated tasks
• Hooks → automation
• Memory → persistent context Real AI systems are orchestration layers. Via Giuliano Liguori (
@ingliguori
) #AI #AIAgents #MCP -
Automating work and life admin with Codex scripts
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have had tons of of fun automating boring parts of my job and life admin the past few days with codex and one off scripts oh and no you really don’t need a Mac mini to for this 🙂
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16 Local AI Agents Running on DGX and MiniMax M2.7
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(2x DGX Sparks) + MiniMax M2.7 NVFP4 = 16 local AI agents running simultaneously 👀 https://t.co/Oaf5J1dyuF
— NVIDIA AI (@NVIDIAAI) 25 mai 2026(2x DGX Sparks) + MiniMax M2.7 NVFP4 = 16 local AI agents running simultaneously
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AI Agents, MCPs, and Container Safety Mechanisms
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We use both together. In practice, for containers to be useful, you often have to punch some holes: GitHub, Anthropic API, kube, other MCPs. Auto mode makes interacting with these safer. It significantly reduces the risks of accidental data deletion, exfiltration, and prompt
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Agent Task Timing and Pricing Tier Strategy
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Most agent tasks don't need to be fast. They need to be done by morning. A slow tier fits that reality well.
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Glean Prompt Library: AI Agents for Enterprise Search
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Glean Prompt Library! @glean Glean’s platform seamlessly integrates with a wide array of enterprise systems such as email, intranet, cloud storage, and database by providing a powerful, unified search interface with AI Agents that effortlessly retrieves information from all