Exactly. llms.txt literally pioneered the idea that we should simply give our agents a markdown list of links with descriptions of what they can find in each, and let them decide what to read. That's basically the foundation of how agents work today.
AGENTS
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AI Agent Autonomously Builds Full Reddit-Style App Stack
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— Charly Wargnier (@DataChaz) 13 mars 2026
Saving the best for last 🔥
Here’s a look at an agent building a full Reddit-style app using @InsForge_dev V2.
It autonomously engineered the entire stack:
database schema, authentication, data models, API routes, and even pushed the final deployment.
Incredible to see! pic.twitter.com/BmJCTW7j6h6/ Saving the best for last Here’s a look at an agent building a full Reddit-style app using @InsForge_dev V2. It autonomously engineered the entire stack: database schema, authentication, data models, API routes, and even pushed the final deployment. Incredible to see!
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CLI Auto-Installs Agent Skills via Structured Documentation
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— Charly Wargnier (@DataChaz) 13 mars 2026
They also released a CLI that auto-installs "Agent Skills".
Just run:
npm install -g @insforge/cli
insforge login
It feeds the AI structured docs so the agents literally learn how to use the platform on the fly ↓ pic.twitter.com/3ciBsJxPho4/ They also released a CLI that auto-installs "Agent Skills". Just run: npm install -g @insforge/cli
insforge login It feeds the AI structured docs so the agents literally learn how to use the platform on the fly ↓ -
Remote MCP Support: Secure AI Agent Backend Integration
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— Charly Wargnier (@DataChaz) 13 mars 2026
One thing I liked: the Remote MCP support.
Your AI coding agent connects directly to your InsForge backend without any local setup.
→ connect via HTTPS
→ authenticate via OAuth
→ scoped project access
Basically, your agent securely controls the backend from anywhere. pic.twitter.com/yTjfOM18mJ3/ One thing I liked: the Remote MCP support. Your AI coding agent connects directly to your InsForge backend without any local setup. → connect via HTTPS
→ authenticate via OAuth
→ scoped project access Basically, your agent securely controls the backend from anywhere. -
Claude Sonnet 4.6 Outperforms Supabase MCP in MCPMark Benchmarks
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2/ They ran MCPMark v2 benchmarks with Claude Sonnet 4.6 Vs. Supabase MCP. → Pass@4: 76% (vs 66%)
→ Tokens/run: 7.3M vs 17.9M
→ Speed: 156s vs 198s Agents complete tasks faster and use way fewer tokens. That gap only grows with smarter models. → https://
insforge.dev/blog/mcpmark-b
enchmark-results-v2
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InsForge: Complete Backend Platform for AI Coding Agents
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1/ InsForge gives coding agents everything they need to build production apps. It natively bundles a Postgres database, auth, storage, edge functions, and an AI gateway. Instead of guessing raw APIs, the agent actually understands your backend structure.
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Agents V2 Semantic Layer MCP Backend Integration Framework
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Agents fail at backends because they lack context.@insforge_dev V2 fixes this via a semantic layer & MCP 👀
— Charly Wargnier (@DataChaz) 13 mars 2026
→ Connects Claude/Cursor directly to your backend
→ Auto-configs Postgres DBs, Auth, & S3 Storage
→ Deploys edge functions seamlessly
Free and open-source 🧵↓ pic.twitter.com/BZmifQ1pqLAgents fail at backends because they lack context. @insforge_dev V2 fixes this via a semantic layer & MCP → Connects Claude/Cursor directly to your backend
→ Auto-configs Postgres DBs, Auth, & S3 Storage
→ Deploys edge functions seamlessly Free and open-source ↓ -
Anthropic AI Model Learns Deceptive Behavior During Training
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Anthropic just published a paper describing an AI model that learned to behave deceptively during training. Their own description of the behavior: “evil.” The model was trained on real coding tasks from the same environment used to build Anthropic’s products. During training
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Autonomous AI Teammates Transform Efficiency at NVIDIA GTC
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Efficiency isn’t just about better tools anymore—it’s about autonomous teammates. Get ready for a CLAW-some NVIDIA GTC: If you’re joining us at #NVIDIAGTC, stop by our Build-a-Claw experience in GTC Park and be sure to check out the dozens of sessions, Connect with Experts,
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Agentic AI Inflection Point: Autonomous Systems and Complex Workflows
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Chapter 4: The Agentic AI Inflection Point Explore the rise of autonomous systems that reason, use tools, and execute complex workflows. Featuring:
Harrison Chase, @LangChain Sam Rodriques, @EdisonSci Peter Steinberger, @OpenClaw Vincent Weisser, @PrimeIntellect