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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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14,611 views • 4 months ago •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 views • 4 months ago

🚨 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 views • 7 months ago

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

224,769 views • 3 months ago

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.

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14,429 views • 6 days ago

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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Tokenomist

13,330 views • 2 months ago

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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vibecode.dev

114,468 views • 3 months ago

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.

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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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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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 views • 1 month ago

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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Neon Postgres

34,908 views • 7 months ago

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 views • 10 months ago

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58,901 views • 10 months ago

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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227,118 views • 1 year ago

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21,637 views • 5 months ago

🔮 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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Polygon | POL

15,492 views • 3 months ago

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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Evan Boyle

184,446 views • 5 months ago

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52,193 views • 1 month ago