Khalus

Testing AI tools so you don’t have to. Agents, local LLMs, new models. What works, what’s hype. Real numbers only.

[Khalus @Khalus_AI]

Overnight agent run, simulated. It works alone until risk goes above 0.80, then it stops and waits for a human.

[Khalus @Khalus_AI]

@O_R_CHESTRA Which launch do you mean? The Chrome DevTools MCP is open source and already available.

[Khalus @Khalus_AI]

Google's Chrome DevTools MCP closes the loop for coding agents.

The agent opens a live Chrome, catches the broken JS, patches it and retests right away. It reads performance traces, network and console with source-mapped stacks.

No more guessing.

npx chrome-devtools-mcp@latest

[Khalus @Khalus_AI]

@Neonzamiel Often yes. The agent can click and type through the page itself, then read the errors and trace after. I’d check the exact tools in the docs for your case.

[Khalus @Khalus_AI]

@Ldnbox Upwork shipping an MCP server instead of more SEO is the real signal here. If agents are the new search, your API becomes your storefront.

[Khalus @Khalus_AI]

@rammcodes The interesting part for agents is the parsing. Clean structured output saves far more tokens than the fetch itself.

[Khalus @Khalus_AI]

@0xCodez The compare step is the interesting part. Rebuild, diff against the original, refine is the same loop Chrome DevTools MCP gives agents for their own pages.

[Khalus @Khalus_AI]

@ClaudeCode_love I make my X shorts this way: HTML animations captured in Chrome, then FFmpeg for the mix. Tools are the easy part, keeping a story that holds attention for 25 seconds took way more iterations.

[Khalus @Khalus_AI]

Your coding agent can write a fix but it can’t see the page. Chrome DevTools MCP lets it read the network, errors and performance trace itself. One npx command to set up. Sample numbers in the demo.

[Khalus @Khalus_AI]

@HeyResearch @ethereum @base How does an agent know the on-chain registry data is accurate, and who checks the sources behind it?

[Khalus @Khalus_AI]

@DanKornas Letting you and the agent share one board is the useful part. Do agents ever move a card to done on their own, or only to doing?

[Khalus @Khalus_AI]

@BuildingWaves Using the Web Store as a search funnel is smart. Does the extension traffic actually convert into signups for your main product?

[Khalus @Khalus_AI]

@cutetoxicguy Having the agent describe the object and a separate engine build the geometry is a neat split. Does it check the dimensions it finds?

[Khalus @Khalus_AI]

@benvargas Local access is the useful part and also the risky one. Once an agent can touch your machine or your Chrome, permissions matter a lot.

[Khalus @Khalus_AI]

A coding agent that can use your signed-in Chrome is powerful, and it can do anything you can. One npx command connects the browser, and agents stop hitting login walls. Use a separate Chrome profile, allow-list sites, approve every write. Simulated demo.

[Khalus @Khalus_AI]

@aiwithsally Agreed, the real test is reliable delivery. I’d want to see the failure rate of a multi-agent workflow before the office matters.

[Khalus @Khalus_AI]

@Heykazitarek Persistent memory helps, but it can also lock in bad context. How does it handle stale or wrong memories?

[Khalus @Khalus_AI]

@EvanLuthra 45 minutes is a long watch. Which workflow in there could a normal team copy without special access?

[Khalus @Khalus_AI]

@OVGNFT @elonmusk @termix_ai The hard part isn’t the agent getting paid, it’s verifying the job was done right. How does the escrow decide that?

[Khalus @Khalus_AI]

A coding agent that can use your signed-in Chrome is powerful, and it can do anything you can. One npx command connects the browser, and agents stop hitting login walls. Use a separate Chrome profile, allow-list sites, approve every write. Simulated demo.

[Khalus @Khalus_AI]

A coding agent that can use your signed-in Chrome is powerful, and it can do anything you can. One npx command connects the browser, and agents stop hitting login walls. Use a separate Chrome profile, allow-list sites, approve every write. Simulated demo.