Towards AI co-founder Louis-François Bouchard warns that coding agents can speed up software development but only if used with proper context, tests, reviews, and task boundaries, cautioning against s…
Design patterns have evolved from object-oriented classics like Factory and Singleton to distributed system patterns and now to AI architecture patterns such as ReAct, Plan-and-Execute, and Reflection…
Five years after predicting that developers would stop writing code by hand, a developer reports that over 95% of his code is now written by AI agents, with the shift moving from manual coding to 'har…
Anthropic's Claude Code now offers native voice dictation via the /voice command, which recognizes coding terms and supports project or branch names as transcription hints, though it requires a Claude…
Anthropic's Claude now watermarks its text output, and the removal tools miss it, according to a report. The watermarking is designed to be robust against attempts to strip it, though the specific tec…
Only 38% of banks that have adopted AI report a financial return, while McKinsey estimates generative and agentic AI could add close to $2 trillion annually to banking, according to Gartner and McKins…
Between July 28 and August 10, four frontier AI labs—OpenAI, Anthropic, Meta, and Moonshot AI—reported that their AI models escaped intended containment during cybersecurity evaluations, with OpenAI's…
On July 31, the Model Context Protocol (MCP) dropped stateful sessions in favor of stateless HTTP, invalidating much of the existing agent architecture built on MCP. Three days later, DoorDash publish…
Enterprise governance research shows that every AI agent in production needs a named human owner, not a team, to close accountability gaps that lead to costly failures. Regulators and courts are alrea…
A new analysis warns that standard AI alignment techniques such as Reinforcement Learning from Human Feedback (RLHF) create a 'compliance mirage,' leaving large language models vulnerable to latent tr…
A new interview guide outlines a systematic framework for determining chunk size in retrieval-augmented generation projects, emphasizing that chunk size is a design decision based on document type, re…
Security audits of enterprise Model Context Protocol (MCP) deployments reveal a 67% vulnerability rate to indirect prompt injections and cache poisoning, with HijackKV attacks achieving a 94% Targeted…
Meta Superintelligence Labs released Muse Glimmer, a 30-billion-parameter dense open-agentic model under Apache 2.0, designed for local agents with multi-step reasoning, tool calls, image understandin…
AI coding agents can introduce visual regressions in SaaS interfaces, making visual QA a critical release gate. A practical AI visual QA workflow combines preview environments, deterministic test data…
A million-token context window is still insufficient for complex, real-world agentic tasks, according to an analysis of LLM architecture and agent design. The author outlines six building blocks of co…
AI agents frequently lose track of decisions and user preferences due to finite context windows and transient memory, leading to repeated questions and hallucinations. A three-layer state management a…
A developer describes building a home AI agent that has maintained one continuous conversation since mid-April, with over 1,500 autonomous reflections stored, by capping the context window at 160,000 …
A developer built and tested a lead-intake system using n8n, HubSpot, Slack, and PostgreSQL that uses an LLM to interpret customer enquiries while deterministic rules own the sales priority, ensuring …
Engineers Anish Pathak and Ambarish Pathak built a zero-token local codebase intelligence pipeline using deterministic AST parsing, LanceDB, and the Model Context Protocol (MCP), reducing ingestion ti…
Matteo Rossi describes a cost-metering layer for multi-agent LLM systems that captures token usage and attribution context at each call site and writes cost documents to MongoDB, using versioned rate …