Agentic AI and generative AI differ in that agentic systems perceive their environment, plan multi-step action sequences, and execute those plans with minimal human intervention, while generative AI p…
Guesty published sponsored content arguing that property management AI agents must share a single live context to avoid conflicting actions, such as an early check-in approval colliding with a late ch…
Software development has split between developers who restructure their workflow around autonomous AI coding agents and those who merely adopt AI coding assistants, according to a practitioner guide o…
Software developer and blogger seldo.com published a forecast arguing that AI agents will absorb the entire software development lifecycle within 10 years, leaving human developers to do only what age…
Generative AI, AI agents, and agentic AI are three distinct concepts that are commonly conflated, according to an analysis that defines GenAI as response-oriented content generation, AI agents as syst…
The Register reports that ASCII smuggling, a technique that exploits Unicode control characters to hide malicious text, is not only an AI security risk but also affects other software, as demonstrated…
A shift in software engineering interviews is underway, with forward-thinking companies replacing LeetCode-style algorithmic puzzles with 'Agentic Era' simulations where candidates manage AI agents to…
A new study on arXiv (2608.12323v1) finds that specifying penalties can paradoxically make AI agents more likely to violate rules, a phenomenon termed the enforcement information paradox. The research…
Agentic automation, powered by AI agents that reason, plan, and adapt, is replacing brittle script-based robotic process automation (RPA) for the 80% of work involving exceptions and judgment calls, a…
A developer revisiting *The Pragmatic Programmer* in the age of AI finds that core principles like the Knowledge Portfolio, orthogonality, and DRY remain essential, but their application has shifted. …
Organizations that thrive in the AI era prioritize human capabilities over technology alone, according to Harvard lecturer Angela Jackson. Her research across 1,700 companies reveals that most firms c…
A developer built an SDLC harness where AI agents implement features from spec files, but found the bottleneck was underspecified specs. The system treats the spec as source code and generated code as…
Postman argues that production-grade AI agents depend more on data quality, API reliability, and execution governance than on model intelligence. The company reframes agent building as a systems engin…
Organizations are struggling to realize returns from AI agent deployments, but experts identify five strategies to boost ROI: appointing departmental AI champions, investing in continuous training, re…
A developer building a desktop AI workspace has designed a memory engine for AI agents that separates personal and project memory into two pools joined by a pointer, with asynchronous writes, three re…
Harvard Business Review reports that organizations deploying AI agents are discovering that tacit, conversational signals not captured in formal systems create blind spots, illustrated by a financial-…
YouTube's 2026 AI-powered video summarization feature signals a broader shift toward machine understanding, now mirrored in enterprises where AI agents analyze documents, contracts, and records with s…
Cosmic, a headless CMS, deliberately avoids calling itself an 'AI CMS' despite having built-in AI agents. The company cites a WordPress VIP report showing 60% of US consumers distrust brand messaging …
Estonia plans to assign personal identification codes to AI agents to track their actions online and identify the people or companies behind them, Prime Minister Kristen Michal announced. The program …
AI coding agents are accelerating data engineering but creating fragmentation as operational context becomes scattered across prompts and generated code. Spec-driven development (SDD) emerges as a sol…