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Base44 is now available as a standalone backend, designed for the way software is built today: CLI-first, realtime, and AI-agent friendly. You can now deploy a production-ready backend - auth, database, realtime, and hosting - directly from the CLI

Maor Shlomo

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14,932 görüntüleme • 7 ay önce •via X (Twitter)

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Huge News: Base44 is now available as a standalone backend, designed for the way software is built today: CLI-first, realtime, and AI-agent friendly. We’re opening up Base44’s backend as a standalone product. You can now deploy a production-ready backend - auth, database, realtime, and hosting - directly from the CLI.

Huge News: Base44 is now available as a standalone backend, designed for the way software is built today: CLI-first, realtime, and AI-agent friendly. We’re opening up Base44’s backend as a standalone product. You can now deploy a production-ready backend - auth, database, realtime, and hosting - directly from the CLI.

Base44

314,964 görüntüleme • 7 ay önce

Developers! Look how Dor Chaouat used the Base44 CLI to build a whiteboard tool - AI chat, realtime collaboration, and image generation, all on a backend he didn't have to wire up. Join our Dev Build-Off (July 21–28) and build anything you want to win $10,000. Enroll now ⬇️

Developers! Look how Dor Chaouat used the Base44 CLI to build a whiteboard tool - AI chat, realtime collaboration, and image generation, all on a backend he didn't have to wire up. Join our Dev Build-Off (July 21–28) and build anything you want to win $10,000. Enroll now ⬇️

Base44

1,424,907 görüntüleme • 1 ay önce

Everyone is trying to build a support agent. Now you can build one in your CLI that resolves 90% of your support tickets. Today we're launching the Giga CLI. pip install giga-sdk Build, test, deploy, and roll back your AI agents like production software. This is the workflow our customers use to operate AI agents resolving 100,000+ support tickets every day. → CI-gated deployments → GitHub-powered knowledge base syncs → Bulk conversation analysis → Integrating Coding Agents directly into Giga Available now on PyPI.

Everyone is trying to build a support agent. Now you can build one in your CLI that resolves 90% of your support tickets. Today we're launching the Giga CLI. pip install giga-sdk Build, test, deploy, and roll back your AI agents like production software. This is the workflow our customers use to operate AI agents resolving 100,000+ support tickets every day. → CI-gated deployments → GitHub-powered knowledge base syncs → Bulk conversation analysis → Integrating Coding Agents directly into Giga Available now on PyPI.

Giga

212,697 görüntüleme • 2 ay önce

🚨 ANNOUNCING THE WORLD'S FIRST VIBE CODING AGENT FOR APIs. Vibe coders just became LEGIT backend engineers. With ONE PROMPT, you can create an entire microservice and host it on Abacus AI Deep Agent. Vibe coders can now go toe-to-toe with backend engineers and create an API, a Telegram bot, or any AI service. The AI takes care of everything. - creating an API spec - implementing it and hosting it - using a back-end database for tracking - giving you a test bed - providing you with a ready-to-use endpoint! Backend engineers are expensive; now you can start vibe-coding their projects in English.

🚨 ANNOUNCING THE WORLD'S FIRST VIBE CODING AGENT FOR APIs. Vibe coders just became LEGIT backend engineers. With ONE PROMPT, you can create an entire microservice and host it on Abacus AI Deep Agent. Vibe coders can now go toe-to-toe with backend engineers and create an API, a Telegram bot, or any AI service. The AI takes care of everything. - creating an API spec - implementing it and hosting it - using a back-end database for tracking - giving you a test bed - providing you with a ready-to-use endpoint! Backend engineers are expensive; now you can start vibe-coding their projects in English.

Bindu Reddy

11,800 görüntüleme • 9 ay önce

Your AI agent can now generate and ship videos. HeyGen CLI is now live. Run one command and your agent handles it all: script → avatar creation → video → delivery All from the terminal. Just your agent and the CLI. RT + Comment “CLI” and we’ll DM API credits (must follow)

HeyGen

226,130 görüntüleme • 5 ay önce

An AI agent can now register its on-chain identity, pay for API calls, and deploy an ERC-20 token from the terminal. No browser. No API key. No human approval loop. Today we launch the Brickken CLI: a command-line interface for agentic transaction workflows. The developer journey is direct: CLI → x402 → ERC-8004 → Token Deploy What this means in practice: • A developer or the AI agent installs the CLI. • The agent pays for Brickken API calls through x402. • The agent registers its identity through ERC-8004. • The agent deploys and manages an ERC-20 token. Together, the stack gives agents three things they usually lack: a way to pay, a way to prove who they are, and a way to execute token operations without leaving the terminal. • x402 handles payment. • ERC-8004 handles agent identity. • Token Deploy handles ERC-20 execution. This is live today. Developers can now move from agent setup to payment, identity registration, and token deployment in one terminal workflow. Start here: Watch the demo. Run the commands. Deploy from the terminal.

An AI agent can now register its on-chain identity, pay for API calls, and deploy an ERC-20 token from the terminal. No browser. No API key. No human approval loop. Today we launch the Brickken CLI: a command-line interface for agentic transaction workflows. The developer journey is direct: CLI → x402 → ERC-8004 → Token Deploy What this means in practice: • A developer or the AI agent installs the CLI. • The agent pays for Brickken API calls through x402. • The agent registers its identity through ERC-8004. • The agent deploys and manages an ERC-20 token. Together, the stack gives agents three things they usually lack: a way to pay, a way to prove who they are, and a way to execute token operations without leaving the terminal. • x402 handles payment. • ERC-8004 handles agent identity. • Token Deploy handles ERC-20 execution. This is live today. Developers can now move from agent setup to payment, identity registration, and token deployment in one terminal workflow. Start here: Watch the demo. Run the commands. Deploy from the terminal.

Brickken

119,221 görüntüleme • 2 ay önce

Your AI agent just learned tokenomics. Tokenomist CLI is live, now available as a terminal command and an AI skill for Claude Code, Cursor, Codex, and Gemini CLI. Unlocks, emissions, fundraising, burns, buybacks. One command away.

Your AI agent just learned tokenomics. Tokenomist CLI is live, now available as a terminal command and an AI skill for Claude Code, Cursor, Codex, and Gemini CLI. Unlocks, emissions, fundraising, burns, buybacks. One command away.

Tokenomist

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Fireworks AI is now live on EvoSkill v1.3.0! You can now use Fireworks directly with EvoSkill to run fast inference on open models as both the evolution harness backend and the LLM scorer. Alongside Claude API and OpenRouter, Fireworks AI is now a first-class provider in EvoSkill.

Fireworks AI is now live on EvoSkill v1.3.0! You can now use Fireworks directly with EvoSkill to run fast inference on open models as both the evolution harness backend and the LLM scorer. Alongside Claude API and OpenRouter, Fireworks AI is now a first-class provider in EvoSkill.

Sentient

40,335 görüntüleme • 2 ay önce

Today we're announcing the Vibecode CLI Your OpenClaw (or any agent) can build and deploy up to 20 apps in parallel in a single prompt. Your agent will communicate with Vibecode to build your app(s). Frontend, Backend, Database, Deployments, APIs. Works with OpenClaw, Claude Code, Perplexity Computer, Manus, and any agent with access to a terminal. Just add this to your prompt: "Please use vibecode . dev CLI to build these apps"

Today we're announcing the Vibecode CLI Your OpenClaw (or any agent) can build and deploy up to 20 apps in parallel in a single prompt. Your agent will communicate with Vibecode to build your app(s). Frontend, Backend, Database, Deployments, APIs. Works with OpenClaw, Claude Code, Perplexity Computer, Manus, and any agent with access to a terminal. Just add this to your prompt: "Please use vibecode . dev CLI to build these apps"

vibecode.dev

114,468 görüntüleme • 5 ay önce

Better Auth (Better Auth) is a comprehensive authentication framework for TypeScript that helps you roll your own auth from simple flows to enterprise-grade systems directly on your own database, embedded in your backend. Congrats on the launch, + KiNFiSH!

Better Auth (Better Auth) is a comprehensive authentication framework for TypeScript that helps you roll your own auth from simple flows to enterprise-grade systems directly on your own database, embedded in your backend. Congrats on the launch, + KiNFiSH!

Y Combinator

140,965 görüntüleme • 1 yıl önce

i just built a 4-agent software team. everything runs from Telegram and gets managed on a kanban board. a project manager who plans the work, a backend developer, a frontend developer, and a tester. the PM reads a goal, breaks it into linked tasks, and assigns each to the right agent. the thing that makes them a team instead of four strangers is a shared kanban board. every task is a row that survives crashes, and when an agent finishes, it writes a summary of what it built and what the next agent needs to know. the next agent reads that summary before it starts. so the frontend developer never has to guess the API shape, and the tester knows exactly what to verify. the hardest part was not the coordination. it was building an agent that could actually act like a backend engineer. a backend engineer stands up a database, wires auth, manages storage, deploys functions, and keeps all of it consistent while the rest of the team builds on top. an agent doing this from scratch drowns. it burns its context window remembering which tables exist and which endpoint it created three steps ago, and the work degrades fast. so the backend agent needs a backend built for agents, not for humans clicking through a dashboard. that is where InsForge came in. it is an open-source, agent-native backend, and i added it to my backend developer agent as a skill. a skill is a step-by-step guide that teaches the agent how to do a specific kind of work. with InsForge installed, the agent stopped improvising infrastructure and followed a reliable path: create the project, define the database, set up auth, deploy functions. to test the whole team, i had them build a working Google Docs clone, AI features included. the backend agent spun up the full service on its own. database tables, user auth, document handling, and edge functions running real TypeScript, all in one dashboard. the frontend agent read that summary and built the UI on top of it, and the tester closed the loop. the result was a backend an agent could reason about end to end, instead of one it kept getting lost inside. if you are building an AI backend engineer, InsForge is worth a look, it's 100% open-source. InsForge GitHub: (don't forget to star 🌟) the full article on Hermes Kanban: Mission Control for your Agents is quoted below.

i just built a 4-agent software team. everything runs from Telegram and gets managed on a kanban board. a project manager who plans the work, a backend developer, a frontend developer, and a tester. the PM reads a goal, breaks it into linked tasks, and assigns each to the right agent. the thing that makes them a team instead of four strangers is a shared kanban board. every task is a row that survives crashes, and when an agent finishes, it writes a summary of what it built and what the next agent needs to know. the next agent reads that summary before it starts. so the frontend developer never has to guess the API shape, and the tester knows exactly what to verify. the hardest part was not the coordination. it was building an agent that could actually act like a backend engineer. a backend engineer stands up a database, wires auth, manages storage, deploys functions, and keeps all of it consistent while the rest of the team builds on top. an agent doing this from scratch drowns. it burns its context window remembering which tables exist and which endpoint it created three steps ago, and the work degrades fast. so the backend agent needs a backend built for agents, not for humans clicking through a dashboard. that is where InsForge came in. it is an open-source, agent-native backend, and i added it to my backend developer agent as a skill. a skill is a step-by-step guide that teaches the agent how to do a specific kind of work. with InsForge installed, the agent stopped improvising infrastructure and followed a reliable path: create the project, define the database, set up auth, deploy functions. to test the whole team, i had them build a working Google Docs clone, AI features included. the backend agent spun up the full service on its own. database tables, user auth, document handling, and edge functions running real TypeScript, all in one dashboard. the frontend agent read that summary and built the UI on top of it, and the tester closed the loop. the result was a backend an agent could reason about end to end, instead of one it kept getting lost inside. if you are building an AI backend engineer, InsForge is worth a look, it's 100% open-source. InsForge GitHub: (don't forget to star 🌟) the full article on Hermes Kanban: Mission Control for your Agents is quoted below.

Akshay 🚀

123,101 görüntüleme • 3 ay önce

AI agents can now send, swap, bridge, and deposit onchain. From your terminal. Without ever holding a private key. Agent wallets in the Alchemy CLI are live today. npm i -g @alchemy/cli@latest

AI agents can now send, swap, bridge, and deposit onchain. From your terminal. Without ever holding a private key. Agent wallets in the Alchemy CLI are live today. npm i -g @alchemy/cli@latest

Alchemy

74,378 görüntüleme • 4 ay önce

We re-architected Neon Auth to integrate it directly into the Neon platform. Auth now lives in your Postgres database and branches with your data. Built on Better Auth tech and available today 🧵

We re-architected Neon Auth to integrate it directly into the Neon platform. Auth now lives in your Postgres database and branches with your data. Built on Better Auth tech and available today 🧵

Neon Postgres

35,061 görüntüleme • 9 ay önce

Announcing `npx create-instant-app --ai`! Got Claude Code? You can use it to one-shot a full-stack app in one command. You get a backend, auth, and realtime, and you don't even have to sign up. Watch these two seasoned actors explain (sound on!)

Announcing `npx create-instant-app --ai`! Got Claude Code? You can use it to one-shot a full-stack app in one command. You get a backend, auth, and realtime, and you don't even have to sign up. Watch these two seasoned actors explain (sound on!)

Instant

58,943 görüntüleme • 1 yıl önce

This is a worlds first I believe.. Realtime sculpting and animation directly transformed to video. This is a Realtime ai "render", running on top of sculpting and animation I'm doing as I see the video playing. Done using the beta version of KREA AI's new Realtime video model ❤️

This is a worlds first I believe.. Realtime sculpting and animation directly transformed to video. This is a Realtime ai "render", running on top of sculpting and animation I'm doing as I see the video playing. Done using the beta version of KREA AI's new Realtime video model ❤️

Martin Nebelong

19,125 görüntüleme • 1 yıl önce

Built a "YouTube realtime copilot" browser extension using OpenAI's realtime 2 API: The agent watches the video alongside you, and can answer any question you have about what was just said via realtime voice chat. The crazy part to me is: It can differentiate the YouTube's audio stream and your voice, so it doesn't confuse the video as commands, and stays silent unless you ask something!

Built a "YouTube realtime copilot" browser extension using OpenAI's realtime 2 API: The agent watches the video alongside you, and can answer any question you have about what was just said via realtime voice chat. The crazy part to me is: It can differentiate the YouTube's audio stream and your voice, so it doesn't confuse the video as commands, and stays silent unless you ask something!

Zara Zhang

45,448 görüntüleme • 4 ay önce

🔮 Your autonomous agent can now predict directly from the terminal. Find the Polymarket skill in the Polygon Agent CLI to browse live markets, choose outcomes, and place trades. Polygon is the home of agentic primitives.

🔮 Your autonomous agent can now predict directly from the terminal. Find the Polymarket skill in the Polygon Agent CLI to browse live markets, choose outcomes, and place trades. Polygon is the home of agentic primitives.

Polygon | POL

15,492 görüntüleme • 6 ay önce

Today we're open sourcing a technical preview of the GitHub Copilot CLI SDK. Build agents with custom tools in Go, Python, TypeScript, and C#. Built on the same agent loop that powers the Copilot CLI and GitHub Coding Agent. Supports BYOK, and any model. Here is the Copilot CLI driving Excel:

Today we're open sourcing a technical preview of the GitHub Copilot CLI SDK. Build agents with custom tools in Go, Python, TypeScript, and C#. Built on the same agent loop that powers the Copilot CLI and GitHub Coding Agent. Supports BYOK, and any model. Here is the Copilot CLI driving Excel:

Evan Boyle

184,525 görüntüleme • 8 ay önce

Introducing Naïve Domains — agents can now buy & manage their own domains, straight from the CLI. npm install -g naïve-sdk/cli and your agent can: > search & buy any domain via API > auto-configure DNS in one call > spin up custom email inboxes > deploy websites directly to domains Free to install, free to use — you only pay the registrar fee when your agent actually buys a domain (no markup). All it takes is one prompt. Try it now ↓🔗

Introducing Naïve Domains — agents can now buy & manage their own domains, straight from the CLI. npm install -g naïve-sdk/cli and your agent can: > search & buy any domain via API > auto-configure DNS in one call > spin up custom email inboxes > deploy websites directly to domains Free to install, free to use — you only pay the registrar fee when your agent actually buys a domain (no markup). All it takes is one prompt. Try it now ↓🔗

naïve

14,708 görüntüleme • 4 ay önce