A guide published on Towards AI outlines a system for automating a content calendar using five Claude prompts, claiming it can generate a full week of content in 60-90 minutes on Sunday and produce $2…
Graph engineering, the latest buzzword for orchestrating multiple agent loops, forces teams to formalize processes but was already covered by Anthropic in 2024, according to Louis-François Bouchard, C…
Towards AI launched Towards AI Deployment, an enterprise division staffed by AI engineers who began as community members and students. Co-founders Louis-François Bouchard and Denis P. detailed the tra…
Real estate investors can use Anthropic's Claude AI to automate property analysis, tenant screening, and communication, reducing operational time from hours to minutes. The system enables solo investo…
OpenAI confirmed GPT-5.6 Sol, Terra, and Luna will launch Thursday, and Claude Fable 5 returned July 1 after a government shutdown. At the AI Engineer World's Fair in San Francisco, over 6,000 attende…
Claude Fable, one of the most anticipated AI models of the year, was launched on June 9, pulled by the US government three days later, and brought back on July 1, yet a third of users have not tried i…
Solopreneurs are using AI tools like Claude to build consulting businesses generating $5,000 per month by systematizing expertise into passive income streams, serving multiple clients without hiring a…
Claude Code, an AI coding assistant from Anthropic, enables solo developers to build passive income streams by rapidly creating micro-SaaS products, such as a B2B resume screening tool, reducing devel…
Gartner forecasts that by 2028, an average Fortune 500 enterprise could run over 150,000 AI agents, up from fewer than 15 in 2025, creating governance and security risks due to unmanaged identities, c…
Towards AI open-sourced its production AI tutor app, used by students to ask questions about AI engineering, RAG, and agents. The release includes the full system for local running and customization, …
Loop engineering is emerging as a critical discipline for building production-ready AI agents, comparable to data structures in traditional software development. The article outlines a roadmap for mas…
LangChain's Deep Agents framework provides each AI agent with a filesystem, but developers must choose where that filesystem resides—in memory, on disk, or in durable storage—a decision that significa…
A journalist asked seven major AI models what it feels like to be them, and the responses reveal more about how each company wants users to perceive their product than about consciousness.…
A developer built a token-aware RAG chunker in Rust after finding that naive character-count splitting corrupts embeddings and Python hits a parallelism ceiling. The Rust extension improves performanc…
Andrej Karpathy declared prompt engineering dead in a June 25, 2025 tweet, introducing context engineering as its replacement. The shift redefines how developers interact with AI models, emphasizing s…
AI agents often fail not because they lack intelligence, but because they lack memory, a critical issue that requires distinct solutions. The problem of forgetfulness in AI systems is highlighted as a…
A new guide explains essential Markdown files—AGENTS.md, SKILL.md, DESIGN.md—that coding agents need, covering real sources, security risks, and copyable templates.…
A PhD student shares the journey of getting their first top-tier AI conference paper accepted, detailing the challenges of failed experiments and extensive revisions.…
Moltbook, a platform featuring AI agents, sparks debate over consciousness, but the real question is the mathematical nature of these agents, according to a new article on Towards AI.…
A new article highlights six advanced LangGraph concepts that can distinguish developers from the majority, emphasizing that most developers struggle after copying basic tutorials. The piece aims to h…