Vibe coder. Testing AI tools so you don't have to. Tutorials, tool reviews, courses, and automation workflows. Posts daily.
Joined January 2026
- Tweets 1,480
- Following 623
- Followers 214
- Likes 576
35 Photos and videos
Stripe built Minions. Ramp built Inspect. Coinbase built Cloudbot.
Async coding agents are becoming standard infrastructure at serious eng orgs. Not autocomplete. Agents that take a ticket and come back with a PR.
LangChain open-sourced the pattern. It's called open-swe.
A framework for building your company's internal coding agent. Comment @openswe on a Linear issue, mention the bot in a Slack thread, or tag it in a GitHub PR review. It spins up an isolated cloud sandbox with full shell access and starts working.
It reads AGENTS.md from your repo root, runs linters and tests before committing, then opens a draft PR linked back to the originating ticket.
Change your mind mid-run? Send a message. Middleware injects it before the agent's next model call.
What stands out:
• Runs parallel tasks, no queuing
• Curated ~15 tools, not Stripe's ~500
• Sandboxes: Modal, Daytona, Runloop, or LangSmith
• Built on LangGraph Deep Agents, you compose instead of forking
The honest read: in-house coding agents took Stripe-sized teams to build. This is the same pattern with an upgrade path. Free and open source, MIT licensed, in Python.
⭐ 9,963 stars on GitHub.
🔗 GitHub link in the comments 👇
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Repo: github.com/langchain-ai/open…
Follow @NiteshTechAI for daily open-source AI tools.
♻️ Repost to help a developer discover this.
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The fastest way to cut your LLM bill is not a cheaper model.
headroom compresses tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95 percent fewer tokens. Same answers.
It ships as a library, a proxy, and an MCP server.
↳ Drop in front of any LLM call
↳ Works with Claude, OpenAI, Gemini
↳ MCP mode plugs into agents directly
↳ 24K stars on GitHub
100% free and open source, Apache 2.0. If you run agents at scale and have not seen this, you are burning money on every call.
🔗 GitHub link in the comments 👇
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Repo: github.com/chopratejas/headr…
Follow @NiteshTechAI for daily open-source AI tools.
♻️ Repost to help a developer discover this.
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Jun 13
Fareed Khan open-sourced a repo that trains an LLM from scratch in pure PyTorch. No trl. No peft. No transformers library.
Honestly, this is what every "build your own LLM" tutorial should look like.
It's called Train LLM From Scratch.
• Transformer coded from the Attention is All You Need paper
• Pretrain 13M or 2B params on the Pile
• SFT on Alpaca and Dolly
• Reward Model, PPO, DPO on Anthropic HH-RLHF
• GRPO and RLVR on GSM8K, multi-GPU DDP with bf16
Goes from raw Pile bytes all the way to an aligned reasoning model. Every algorithm written by hand. Built by @FareedKhan_dev, currently looking for a PhD position in AI.
⭐ 5.7K stars on GitHub. MIT licensed, free and open source.
🔗 GitHub link in the comments 👇
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Jun 13
Repo: github.com/FareedKhan-dev/tr…
Follow @NiteshTechAI for daily open-source AI tools.
♻️ Repost to help a developer discover this.
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Jun 12
🚨 BREAKING: @addyosmani packaged how senior Google engineers work into skills your AI coding agent can follow.
No more agents skipping tests.
No more vibe-coded slop in your PRs.
It's called Agent Skills.
• 7 slash commands mapping the dev lifecycle: spec, plan, build, test, review, simplify, ship
• Skills auto-activate by context, API design triggers API skills, UI work triggers frontend skills
• /build auto runs the whole plan autonomously, still test-driven per task
• Works with Claude Code, Cursor, and Antigravity
• Quality gates between every phase
Built by a Director at Google working on Gemini. This is what "senior engineer in a box" actually looks like.
⭐ 56.7K stars on GitHub. MIT licensed, free and open source.
🔗 GitHub link in the comments 👇
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Jun 12
Repo: github.com/addyosmani/agent-…
Follow @NiteshTechAI for daily open-source AI tools.
♻️ Repost to help a developer discover this.
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Nitesh retweeted
Jun 9
We're hosting Claude Fable 5 Build Day in San Francisco on June 13.
Point Fable 5 at a problem worth solving and build a solution with Claude Code.
The Anthropic team will be in the room, with a chance to win from a prize pool of $150K in Claude credits across 3 finalists.
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Nitesh retweeted
Jun 3
How do we automate business analytics with Claude?
New blog post covering our best practices for skills, data foundations, and evaluations when building agents to perform data analysis:
claude.com/blog/how-anthropi…
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Jun 2
One /goal command.
Claude Code ran a full implementation review end-to-end, unattended, and came back with the work done.
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May 30
11 Reddit communities. 1M weekly visitors.
If you're building SaaS or a side project, this is your
distribution playbook before you touch paid.
r/smallbusiness → 438K weekly
r/saas → 260K weekly
r/marketing → 88K weekly
r/seo → 85K weekly
r/ppc → 82K weekly
r/micro_saas → 38K weekly
r/agency → 20K weekly
r/bigseo → 12K weekly
r/seogrowth → 11K weekly
r/saasmarketing → 3K weekly
r/linkbuilding → 3K weekly
Save this list.
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May 28
AI agents now have a brokerage account.
Robinhood's MCP server lets any agent analyze markets and execute trades with a dedicated budget and per-trade notifications.
The barrier between "AI strategy" and "live money" just dropped to one config file.
May 27
Your strategy shouldn't sleep just because you do.
Connect your AI agent to a Robinhood Agentic Account to explore trade ideas, build and rebalance portfolios, program custom tools, and place trades as your strategy evolves.
Rolling out now.
Learn more: rbnhd.co/AgenticTrading
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May 24
JustHireMe is a local-first AI job search system. And that matters because job hunting is still painfully manual for most people.
You're opening too many tabs.
Copying the same resume over and over.
Writing cover letters from scratch.
Losing track of applications.
And wasting time on low-quality listings that were never a fit in the first place.
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May 24
That's the real value here.
It saves time.
It reduces noise.
It helps you focus on the jobs that actually match your background.
And because it is local-first, your data stays with you.
This is what a serious job-hunt workflow tool looks like.
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May 24
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May 24
Here's the thing most people miss:
Agents don't just need better prompts.
They need better skills.
That's exactly what Google's new open-source `google/skills` repo is for.
It gives agents on-demand skills in Markdown, with reference files, code snippets, and bundled assets.
That means less prompt bloat and more actual capability.
And it starts with 13 skills across Google Cloud products like BigQuery, Cloud Run, Cloud SQL, Firebase, Gemini API, and GKE.
It also includes skills for Security, Reliability, Cost Optimization, onboarding, authentication, and network observability.
This is not just documentation.
It's a distribution layer for agent knowledge.
Open source.
Built for agents.
Built for reuse.
Link in the comments
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