secret-agent v0.4.2: now handles PEM files, certificates, and key pairs. cat private_key.pem | secret-agent import TLS_KEY secret-agent exec --env TLS_KEY deploy.sh Your agent deploys with the cert. Never sees the private key.

Ask your AI agent to copy a secret to your clipboard. It runs `secret-agent get KEY --clipboard` You get the value. The agent never sees it.

Own your agent's context. Don't rent it. If your tasks, plans, and workflows live in someone else's cloud, you don't own them. One API change, one sunset, one pricing update, and your agent loses its brain. Dooist stores everything locally. SQLite on your machine. Plain

I was debugging a Claude Code trace and found my Stripe API key sitting in plain text. In the conversation log. That anyone on the team could read. That's why I built secret-agent. The agent never touches the key. It just says "use STRIPE_KEY" and secret-agent handles the rest.

The biggest bottleneck in AI-assisted development isn't the model. It's you. Your agent can write code in seconds. But it waits minutes for you to describe what to build. Then waits again while you review. Then waits again while you create the next task. Automate the task

In Top Gun: Maverick, the Navy wants to replace human pilots with drones. Then the hard mission comes. GPS jamming makes autonomous flight impossible. They don't send a drone. They send Maverick. We're in the Maverick phase of AI right now. Get good while it matters.

The best AI-native engineers touch so much surface area that teammates can't contribute without stepping on their work. Two gears spinning at 10x speed. The teeth have to mesh perfectly or it's all duplicate effort. You don't need 15 people. You need 3-4 superstars.

The most important hire on an agent team right now isn't another engineer. It's QA. A human using the product every day, finding the weird breaks, filing tickets. That's your real eval loop. Automate their workflows and your coverage compounds fast.

Found my API key in plain text in a trace log last month. The agent needed it for a deploy. I passed it as an env var. The trace captured everything. Agents aren't insecure. They're recorders. Every secret you hand them ends up in context windows, logs, and replays. Built

OpenClaw stores API keys as literal strings in config. When config serializes back to disk, your keys end up in plaintext. 20k+ stars. Millions of users. This is still how it works. Opened PR #19728 to fix it. apiKeyFile reads from a file path at runtime. The secret never

everyone building agent tools is designing for the wrong user. they build dashboards, streaming panels, progress bars. all for the human watching. but the human watching isn't the bottleneck. the agent's environment is. does the agent have clear context? does it have isolated

running 10 ai coding agents on real production tickets at the same time they code in isolated git worktrees. i review the PRs, verify, merge built a review loop that catches the majority of bugs. customers happy. velocity is insane then it hit me: if the review catches

agent orchestration tools keep optimizing for the wrong side of the equation. they build better ways for humans to watch agents work. real-time streaming. approval flows. review panels. but the agent doesn't care if you're watching. it cares about three things: - does it have