#agents

12 posts

  1. 01 Is it even worth trying to block AI or bots anymore? Blocking bots can be worth doing. But if an agent can deliver most of your product’s value by reading a few public pages, the next strategy discussion probably needs to go beyond a better CAPTCHA.
  2. 02 I Let AI Agents Review and Merge PRs. Then Disaster Struck. The features worked, but background jobs kept my serverless database awake. AI code review missed the operating assumption that made the design expensive.
  3. 03 OpenAI’s Dot Found Me a NYC Apartment. I Just Showed Up. I gave dot a goal, made decisions along the way, and showed up. It helped with the apartment search, viewings, paperwork, and the little things after signing.
  4. 04 OpenWork: Make Agent Capabilities Easier to Share Different AI’s OpenCode-based workspace combines a desktop app with shared skills and MCP connections. The useful test is whether a working setup transfers cleanly to the next person.
  5. 05 Playwright CLI: Give Coding Agents Browser Evidence Microsoft’s browser automation CLI lets agents exercise user flows and capture screenshots, traces, console messages, and network requests. Use the evidence alongside regression tests.
  6. 06 Promptfoo: Make AI Quality a Repeatable Check A CLI and library for evaluating and red-teaming AI applications, with declarative test cases and CI integration. Start with failures that matter to your product.
  7. 07 REA: Give Coding Agents a Way to Inspect Existing Software An MIT-licensed CLI and MCP server connects coding agents to reverse-engineering tools. The useful question is how well an agent can explain existing behavior with evidence.
  8. 08 Agents Need Eyes: The Verification Layer Is Arriving Chrome ships DevTools as an MCP server for coding agents. It is one of the clearest signals that verification, not code generation, is where agentic delivery gets decided.
  9. 09 OpenAI Shipped a Codex Plugin for Claude Code. Read the Signal. The official codex-plugin-cc repo lets Claude Code users run Codex reviews and delegate tasks. The interop matters more than the feature.
  10. 10 Build Agentic Preview Environments on Your Own VPS Build isolated pull request previews on your VPS with Dokploy, PostgreSQL, dedicated workers, safe credentials, tests, and automatic cleanup.
  11. 11 How to Build a Safe Agentic Software Pipeline Build an agentic delivery pipeline where every pull request gets isolated code, data, workflows, tests, and a live Preview URL.
  12. 12 PM, Dev, QA Are Merging: Meet the Rise of the Product Engineer Uncover how AI merges PM, dev, and QA into a single product engineer. Learn to specify user needs, criteria, and metrics to accelerate delivery.