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Introducing InsForge 2.0: The Backend for Agentic Development Our OSS backend provides databases, auth, storage, model gateway, and edge functions accessible through a context-optimized layer that agents can better understand and operate end-to-end. GitHub: Key Benchmarks (vs. Supabase MCP): - 14% higher accuracy - 1.3x faster per task -...

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InsForge

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1,591,373 görüntüleme • 3 ay önce •via X (Twitter)

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Introducing InsForge Backend Branching. We made agentic coding production-safe. Your agent creates isolated backend branches when working. Every backend service, policy, and config is copied into a secure, isolated environment. Review PR-style diffs. Merge only when ready.
1:33

Introducing InsForge Backend Branching. We made agentic coding production-safe. Your agent creates isolated backend branches when working. Every backend service, policy, and config is copied into a secure, isolated environment. Review PR-style diffs. Merge only when ready.

InsForge

60,102 görüntüleme • 7 gün önce

We’re building the agent-native alternative to AWS, but it's actually good. - 33,000+ projects created (10% WoW growth) - 2x weekly active projects (2000 → 4000+) - 11,000+ GitHub stars (5x in the last 3 months) - faster than React, Supabase, and Linux Introducing InsForge ↓
1:42

We’re building the agent-native alternative to AWS, but it's actually good. - 33,000+ projects created (10% WoW growth) - 2x weekly active projects (2000 → 4000+) - 11,000+ GitHub stars (5x in the last 3 months) - faster than React, Supabase, and Linux Introducing InsForge ↓

InsForge

589,153 görüntüleme • 5 gün önce

Claude Code used 3x fewer tokens with one change: - Before: 10.4M tokens · 10 errors · $9.21 - After: 3.7M tokens · 0 errors · $2.81 I used Insforge Skills + CLI as the backend context engineering layer for Claude Code (open-source and local). Repo:
0:51

Claude Code used 3x fewer tokens with one change: - Before: 10.4M tokens · 10 errors · $9.21 - After: 3.7M tokens · 0 errors · $2.81 I used Insforge Skills + CLI as the backend context engineering layer for Claude Code (open-source and local). Repo:

Avi Chawla

294,659 görüntüleme • 1 ay önce

Introducing InsForge Compute. Deploy long-running backend services as Docker containers via your coding agent. It writes the Dockerfile, builds the image, injects env vars, runs the container, and returns a live URL. All in under 60 seconds.
1:21

Introducing InsForge Compute. Deploy long-running backend services as Docker containers via your coding agent. It writes the Dockerfile, builds the image, injects env vars, runs the container, and returns a live URL. All in under 60 seconds.

InsForge

1,509,967 görüntüleme • 9 gün önce

Introducing InsForge Payments. Your coding agent can now set up Stripe payments for your app using InsForge. Describe your pricing and watch it create products and prices in Stripe, add checkout, and set up billing portal sessions. Test first. Go live when ready.
1:16

Introducing InsForge Payments. Your coding agent can now set up Stripe payments for your app using InsForge. Describe your pricing and watch it create products and prices in Stripe, add checkout, and set up billing portal sessions. Test first. Go live when ready.

InsForge

674,189 görüntüleme • 8 gün önce

.InsForge turns your coding agent into a principal backend engineer. Backend servers, database, LLM gateway, frontend deployment, and more. Every primitive built for how coding agents actually work, so they can run your entire infrastructure. Congrats on the launch, Hang Huang & Tony Chang!
2:08

.InsForge turns your coding agent into a principal backend engineer. Backend servers, database, LLM gateway, frontend deployment, and more. Every primitive built for how coding agents actually work, so they can run your entire infrastructure. Congrats on the launch, Hang Huang & Tony Chang!

Y Combinator

149,986 görüntüleme • 23 gün 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.
0:22

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 🚀

114,135 görüntüleme • 4 gün önce

Supabase MCP server now supports creating and deploying Edge Functions! Refresh your MCP server and make sure you have the `deploy_edge_function` tool, and you are good to go! Just ask your AI tool to create an edge function or a backend, and it will create it for you!
0:24

Supabase MCP server now supports creating and deploying Edge Functions! Refresh your MCP server and make sure you have the `deploy_edge_function` tool, and you are good to go! Just ask your AI tool to create an edge function or a backend, and it will create it for you!

Tyler Shukert

28,997 görüntüleme • 1 yıl önce

Supabase now has an official MCP Server! This means you can create, edit, and connect a Supabase project to your app from your AI IDE like Cursor or Windsurf! We will also be adding more features to the MCP server, such as Edge Functions and Storage, in the near future!
1:47

Supabase now has an official MCP Server! This means you can create, edit, and connect a Supabase project to your app from your AI IDE like Cursor or Windsurf! We will also be adding more features to the MCP server, such as Edge Functions and Storage, in the near future!

Tyler Shukert

84,225 görüntüleme • 1 yıl önce

FlutterFlow 7.0 shipping today. 250M+ users running on apps built with FlutterFlow. version 7.0 focuses on two things every developer cares about: - build faster: MCP support, Test Pilot AI QA. - build better: Supabase Edge Functions, Test Mode upgrades, Smarter AI Agents, Project organization. now go build.
1:30

FlutterFlow 7.0 shipping today. 250M+ users running on apps built with FlutterFlow. version 7.0 focuses on two things every developer cares about: - build faster: MCP support, Test Pilot AI QA. - build better: Supabase Edge Functions, Test Mode upgrades, Smarter AI Agents, Project organization. now go build.

FlutterFlow

332,462 görüntüleme • 8 gün önce

Introducing 🦀 CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents 🦀 CRAB provides an end-to-end and easy-to-use framework to build multimodal agents, operate environments, and create benchmarks to evaluate them, featuring three key components: - 🔀 Cross-environment support - agents can operate tasks in 📱 Android and 💻 Ubuntu. - 🕸️ Graph evaluator - provides a fine-grain evaluation metric for agents. - 🤖 Task generation - composes subtasks to automatically generate tasks. By connecting all devices to agents, 🦀CRAB unlocks greater capabilities for human-like tasks than ever before. Use 🦀 CRAB to benchmark your multimodal agents! - 👨‍💻 Check out the repository: - 📝 Read the paper: - 🌐 Find out more via the project page: - 🐫 Join our community:
1:05

Introducing 🦀 CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents 🦀 CRAB provides an end-to-end and easy-to-use framework to build multimodal agents, operate environments, and create benchmarks to evaluate them, featuring three key components: - 🔀 Cross-environment support - agents can operate tasks in 📱 Android and 💻 Ubuntu. - 🕸️ Graph evaluator - provides a fine-grain evaluation metric for agents. - 🤖 Task generation - composes subtasks to automatically generate tasks. By connecting all devices to agents, 🦀CRAB unlocks greater capabilities for human-like tasks than ever before. Use 🦀 CRAB to benchmark your multimodal agents! - 👨‍💻 Check out the repository: - 📝 Read the paper: - 🌐 Find out more via the project page: - 🐫 Join our community:

CAMEL-AI.org

72,652 görüntüleme • 1 yıl önce

Google Antigravity is our new agentic development platform. It helps developers build faster by collaborating with AI agents that can autonomously operate across the editor, terminal, and browser. It uses Gemini 3 Pro 🧠 to reason about problems, Gemini 2.5 Computer Use 💻 for end-to-end execution, and Nano Banana 🍌 for image generation.
0:48

Google Antigravity is our new agentic development platform. It helps developers build faster by collaborating with AI agents that can autonomously operate across the editor, terminal, and browser. It uses Gemini 3 Pro 🧠 to reason about problems, Gemini 2.5 Computer Use 💻 for end-to-end execution, and Nano Banana 🍌 for image generation.

Google DeepMind

198,301 görüntüleme • 6 ay önce

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
0:39

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

14,611 görüntüleme • 3 ay önce

AI agents work better when they bring in context step by step. With Box Agent skills and progressive disclosure of LangChain skills, developers can quickly build AI agents that load the right skill at the right time, stay grounded in Box content, and keep access tightly scoped. Less context bloat. More control. Faster enterprise AI development.
0:52

AI agents work better when they bring in context step by step. With Box Agent skills and progressive disclosure of LangChain skills, developers can quickly build AI agents that load the right skill at the right time, stay grounded in Box content, and keep access tightly scoped. Less context bloat. More control. Faster enterprise AI development.

Box

627,810 görüntüleme • 1 ay önce

Introducing Cline (formerly Claude Dev), an AI assistant that can use your CLI aNd Editor. v2.0 brings exciting updates: responses are now streamed into your editor, a cancel button for better control over tasks, a new XML-based tool calling prompt resulting in ~40% fewer requests per task + better performance from non-Claude models, search and use any model on OpenRouter (search “free” for no-cost options). More details and benchmarks in the release notes:
2:12

Introducing Cline (formerly Claude Dev), an AI assistant that can use your CLI aNd Editor. v2.0 brings exciting updates: responses are now streamed into your editor, a cancel button for better control over tasks, a new XML-based tool calling prompt resulting in ~40% fewer requests per task + better performance from non-Claude models, search and use any model on OpenRouter (search “free” for no-cost options). More details and benchmarks in the release notes:

Saoud Rizwan

54,651 görüntüleme • 1 yıl önce

Spent the week building an iOS Simulator CLI tuned for AI agents bundled in RocketSim - Build Apps Faster Head-to-head vs. popular open-source alternatives across 5 real Settings app flows: 📉 ~12x fewer tokens ⚡️ 1.6x faster ✅ 4x fewer wrong taps Token cost is the killer for any agent paying per call. What's the one Simulator flow you'd want this CLI to handle?
0:25

Spent the week building an iOS Simulator CLI tuned for AI agents bundled in RocketSim - Build Apps Faster Head-to-head vs. popular open-source alternatives across 5 real Settings app flows: 📉 ~12x fewer tokens ⚡️ 1.6x faster ✅ 4x fewer wrong taps Token cost is the killer for any agent paying per call. What's the one Simulator flow you'd want this CLI to handle?

Antoine v.d. SwiftLee 

29,723 görüntüleme • 1 ay önce

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.

Base44

314,964 görüntüleme • 3 ay önce

Introducing Databricks Document Intelligence: a research-specialized layer that turns raw enterprise documents into structured data your agents can actually reason over. Across our benchmarks, Document Intelligence delivered the highest end-to-end parsing and extraction quality at 6-8x lower cost, with a 16% average performance gain across every agent framework tested, just from better parsing. How to get started:
0:51

Introducing Databricks Document Intelligence: a research-specialized layer that turns raw enterprise documents into structured data your agents can actually reason over. Across our benchmarks, Document Intelligence delivered the highest end-to-end parsing and extraction quality at 6-8x lower cost, with a 16% average performance gain across every agent framework tested, just from better parsing. How to get started:

Databricks

19,428 görüntüleme • 1 ay önce

Eric Schmidt says the cost of AI answers is dropping 10x every year it's not just cheaper tokens -- it's better algorithms, smarter context handling, and faster computation "the industrialization of intelligence is here"
0:41

Eric Schmidt says the cost of AI answers is dropping 10x every year it's not just cheaper tokens -- it's better algorithms, smarter context handling, and faster computation "the industrialization of intelligence is here"

Haider.

24,376 görüntüleme • 10 ay önce

The AI Forward Deployed Engineer is here. Amplify your development work with AI labor, and reach your next breakthrough faster than ever. At DevCon 3, watch as Palantir Software Engineer Ankit Shankar unveils the AI Forward Deployed Engineer — an agentic system that can build data transformations, create and edit your ontology, create functions, build entire applications, and much more.
1:13

The AI Forward Deployed Engineer is here. Amplify your development work with AI labor, and reach your next breakthrough faster than ever. At DevCon 3, watch as Palantir Software Engineer Ankit Shankar unveils the AI Forward Deployed Engineer — an agentic system that can build data transformations, create and edit your ontology, create functions, build entire applications, and much more.

Palantir

218,308 görüntüleme • 11 ay önce