Sean Dorofeev

Diving into the New AIOps tools landscape: Unpacking fully assembled AI agents built on @evidence_dev, with data gathering and orchestration by @crewAIInc. Why I did it: 🔍 To test whether agents can accurately gather comprehensive company info from a name and URL. 💼 My day job revolves around developing AI solutions that need constant monitoring and evaluation, so I explored the current offerings. 🌐 A quick Google search mostly shows giants like New Relic and Datadog. I wanted to highlight emerging startups in the space. I've got a detailed market overview pending fact-checking. I compiled it over a few evenings, squeezing it in after my main projects. Stay tuned!

I think @cloudflare should follow @vercel's example and support sponsorship of such OSS projects

@archieemwood Nice, back to the game. I'm very happy.

it's become clear to us there's a gap in embedded reporting current options: - "drag n drop" BI with no release management, limited customizability - custom js the eng team owns embedded analytics as code allows the data team to run customer reporting using SQL and markdown

@zeroxtlt @conductor_build To be honest and without flattery, the Conductor is the best tool for orchestrating Claude Code — and I've tried 24 of them. Maybe I should write an article about it?

Anthropic should definitely acquire @conductor_build. It feels like the missing piece 🧠 I’m a big fan of Claude Code, but Conductor fixes the one real friction point: the review process. The workflow shift: • CLI: You still need a Git client open on the side to verify what’s actually being coded. • Conductor: Integrated visual diffs. You review, you merge. It makes the "Human Lead Dev" role actually seamless. The engine is great, but this is the dashboard it deserves ⚡️

@y_molodtsov The new Volvo is really amazing, I agree

I’ve reached the stage of life where I can walk past a car and say “that’s a great Volvo”

@EyalToledano @TaskmasterAI @code Great job! I appreciate how you deliver exactly what users want. Keep it up!

we've shipped taskmaster v0.23 🚀 → official @taskmasterai @code extension → manage your taskmaster workflow visually → introducing scope-up & scope-down tools → dozens of QOL improvements & fixes → we're hiring 🐹 follow + retweet + bookmark 👀👇

@mastra sorry, Is a 2-hour deploy process normal?

@charlieholtz Looks amazing, thanks!

Download now at conductor.build Under the hood, we create a new git worktree and branch for Claude Code to work in. This means it has an isolated environment on your machine in one click. Assign a task to Claude and watch it work.

We made a Mac app that lets you run a bunch of Claude Codes in parallel. Introducing Conductor!

@devdigest Cool, but not very deep.

Today, I'm excited to open source Firesearch A full-stack Next.js template for building your own AI-powered deep research engine. Details, video and repo 👇

@skirano I'm always eager to pay for the subscription, but you must understand what you're paying for. This is a great product that excels in its niche. It will definitely become one of our essential tools.

@Dorofeev We are getting rate-limited, sorry about that. We'll have comp refunds soon, and the good news is that these are free :)

Introducing MagicPath, an infinite canvas to create, refine, and explore with AI. Create beautiful components and functional apps, while providing production ready code. Available today, free, for everyone. The Cursor moment for design is here.

@v0 are you good? Because I have 10 requests for zero response.

God bless market economy and competition. Anthropic, OpenAi, Google, Grok, you are amazing 👏

@damianplayer N8N

I compiled 200+ n8n automation templates you can copy & paste into your business or sell to other companies. Just straight plug-and-play systems for: – Lead gen -Content creation – Email outreach – CRM updates – AI workflows – Slack/Discord bots …and more. Follow + Reply “n8n” and I’ll send it over. This is completely FREE. Don't even want your email.

@unclecode @tom_doerr I'm switched and full of it satisfied with the limits and as a fan of Claude Code. It a fair deal

I am thinking of switching, so my understanding is that provide unlimited access in Claude Code? Right now I consume more than 200$ a month for Claude code, I just don’t want confusion to pay 200$ then again theire a limit and hv to pay extra pay-as-you-go. When I ready their website is not that much clear to me, what do you think?

Claude Max may be worth it as it includes Claude Code

Memory v2 is now the default memory driver starting v1.4 🚀 Multi-user, Multi-session, Multi-Agent 🧡

@NathanFlurry @linear @ActorCore_org @vercel SO LIT! 😍🔥

👉👈 Say hello to @Linear Coding Agent Built with @ActorCore_org Agents × @Vercel AI SDK I couldn't wait for this launch, so I hacked together a little something in an evening. I honestly don't believe I could've ship it this fast without Actors. Source code below ⬇️

I've been developing agents for over a year, and these guys are going super right. Top 3 best frameworks now. 👍🔥🚀

@jlcasesES @cj_zZZz Wow, great job 👏

@cj_zZZz Use this and you will blast through the task. github.com/jlcases/paella…

Cursor Agent is just wild. Now i use Gemini PRO 2.5 to scan the codebase and sonnet 3.5/3.7 to execute code. In this workflow you need 3 things: 1. Detailed project documentation 2. Use multiple AI coding models 3. 50-step implementation plan I spend 30 hours/week on cursor. I've found out the best cursor practices and the workflow. I attached the best practices below and here's the best workflow. Your project docs (PRD, Tech stack & APIs doc, app flow doc stec) works like a knowledge base for AI models. If AI models find all necessary information within the knowledge base, they don't hallucinate, assume things and don't ruin the codebase. So must add project docs in your root directory. Ideal place is add them under project rules (.cursor/rules) Then you need to use multiple AI models. Now I am using Gemini PRO 2.5 to scan the entire codebase (cus it has 1M context) and find errors or update docs. And I use Sonnet 3.5 to execute code. If it's a bit complex step then I also use Sonnet 3.7. Sometimes I also use GPT o1 model to debug but rarely (mostly done by Gemini pro 2.5) So 2.5 to scan, update, and 3.5/3.7 to execute. Each model has its superpowers. We need to maximize those. Lastly, you need to write an end-to-end plan to code your app. I call it "implementation plan." This implementation plan works as a blueprint for Cursor Agent and it just follows the tasks and executes those. I use @CodeGuidedev to generate coding docs + it provides 50-step implementation plan to code the entire app. Now it also supports MCPs. Imagine Cursor using Supabase MCP to create database tables, and add policies autonomously. It just saves so much time. So wrap up of the workflow is: Attach your coding docs + use multiple AI models in your flow + have a solid 50-step implementation plan. And you'll see how powerful Cursor Agent is. I hope this'll refine your Cursor coding workflow. Let me know your findings.

I never got a chance to try Gemini-2.5 in @cursor_ai. What’s up with that?

This is a perfect example of how to increase adoption into your product. my opinion is that this should be an absolute base for all AIs. Bravo @mastra