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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

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Maor Shlomo

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14,611 просмотров • 4 месяцев назад •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.
0:50

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.

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314,964 просмотров • 4 месяцев назад

🚨 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.
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🚨 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.

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11,800 просмотров • 7 месяцев назад

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)
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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)

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224,658 просмотров • 2 месяцев назад

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.
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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.

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14,429 просмотров • 1 день назад

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.
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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.

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13,330 просмотров • 2 месяцев назад

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"
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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"

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Fireworks AI is now live on EvoSkill v1.3.0! You can now use Fireworks AI 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.
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Fireworks AI is now live on EvoSkill v1.3.0! You can now use Fireworks AI 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.

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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!
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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!

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Catch the first Firebase Release Notes of 2026! 🥳 We're covering updates to Firebase AI Logic, the Firebase CLI, and more. Chapters: 0:00 - Building with Firebase AI Logic 1:03 - Server prompt templates 1:36 - Backend & database updates 2:28 - CLI and tools
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Catch the first Firebase Release Notes of 2026! 🥳 We're covering updates to Firebase AI Logic, the Firebase CLI, and more. Chapters: 0:00 - Building with Firebase AI Logic 1:03 - Server prompt templates 1:36 - Backend & database updates 2:28 - CLI and tools

Firebase

16,921 просмотров • 5 месяцев назад

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.
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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.

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118,124 просмотров • 1 месяц назад

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
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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

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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 🧵
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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

34,908 просмотров • 7 месяцев назад

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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!)

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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 ❤️
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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 ❤️

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19,125 просмотров • 10 месяцев назад

it's crazy.. you can now create full SaaS apps from a single prompt AppLLM handles the backend, auth, and UI for you here’s what you can build: 1. clone Notion with roles & permissions
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it's crazy.. you can now create full SaaS apps from a single prompt AppLLM handles the backend, auth, and UI for you here’s what you can build: 1. clone Notion with roles & permissions

Nelly;

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Introducing Vibecode Cloud 2.0 for Mobile Apps. A fully secure backend & database for your production mobile apps. > Build your app with Claude Opus 4.6 > Deploy your backend and db (1 click) > Ship to Apple App Store (60 seconds) No Supabase, No Firebase, Just Vibe Coding Now available on the #1 Full Stack Vibe Coding Platform.
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Introducing Vibecode Cloud 2.0 for Mobile Apps. A fully secure backend & database for your production mobile apps. > Build your app with Claude Opus 4.6 > Deploy your backend and db (1 click) > Ship to Apple App Store (60 seconds) No Supabase, No Firebase, Just Vibe Coding Now available on the #1 Full Stack Vibe Coding Platform.

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🔮 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.
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🔮 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

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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:
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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:

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184,432 просмотров • 5 месяцев назад

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!
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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

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Introducing Diagnose and Debug. Give your agent first-party backend context: health metrics, logs, errors, database checks, and more. Your coding agent catches backend issues now, then fixes them by working with your dedicated InsForge debugging agent. Agent <> Agent.

InsForge

52,193 просмотров • 1 месяц назад