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NVIDIA released SkillSpector, a tool that scans AI skills for security risks using static analysis and SARIF reports. The tool evaluates skills through a LangGraph workflow, organizes findings with pandas, and supports L…
Employment for software engineers aged 22 to 25 has fallen roughly 20% since late 2022, according to Stanford analysis of 25 million payroll records, as AI tools and a broader recession squeeze entry-level hiring. A prin…
A developer argues that while most engineers use AI for tasks like debugging and boilerplate, few have integrated it into their core engineering process. The real skill is not prompting but shaping the work—defining requ…
Neo4j launched Virtual Graph for Databricks, enabling graph-based querying of lakehouse data without moving it. The tool translates Cypher queries to SQL, making relationships explicit for humans and AI agents. It simpli…
A developer outlines ten common test automation pitfalls that emerge in production, including authentication complexity, AI agent confusion, multi-step form state management, and parallel execution data conflicts. The po…
Social media platforms including Threads, Instagram, and TikTok are introducing AI-powered tools that let users personalize their recommendation algorithms, moving away from one-size-fits-all feeds. Threads launched a pr…
AI referrals to U.S. travel sites surged 194% year over year in May 2026, with AI-referred visitors spending 70% longer on sites and bouncing 41% less, according to Adobe. The conversion gap between AI and non-AI traffic…
Lightpanda launched Lightpanda Agent and PandaScript, a native browser agent that collapses Chrome, CDP, LLM, and agent framework into a single binary. The LLM runs at buildtime to generate a deterministic PandaScript, e…
A data scientist improved a music genre classification model from a 0.15 F1 baseline to a 0.9031 F1 ensemble by recognizing that the Kaggle competition's test data, which consists of noisy mashups, required a data-centri…
The AAIF Annual Technical Excellence Awards nominations are open until July 17, with guidance provided for writing effective nominations across three categories: Outstanding Technical Contribution, Community Builder, and…
The Agentic AI Foundation (AAIF) announced the inaugural AAIF Annual Technical Excellence Awards to honor individuals, teams, and organizations advancing open, interoperable agentic AI. Nominations are open until July 17…
A developer created aegis-gov, a small Python library for multi-agent task graphs and circuit breakers that separates coordination scaffolding from business logic in multi-agent LLM systems. The library provides TaskQueu…
NVIDIA Jetson integrates validated LPDDR5 DRAM directly on-module to address memory supply volatility that is disrupting edge AI development, with shortages and rising prices expected through 2026. The approach eliminate…
A developer built a single n8n workflow that hosts five AI document-processing services—structured extraction, translation refinement, OCR, PDF conversion, and text extraction—using dynamic dropdowns, dynamic credentials…
Long-form 'ultimate guides' are losing effectiveness in AI-driven search as systems like Gemini extract only about 380 words per page. New research shows pages over 20,000 characters have a 12% AI extraction rate, while …
Claude Code and Codex, two coding agents, autonomously improved AI agent applications by performing engineering practices such as clustering failure patterns and running ad-hoc evaluations, without relying on specialized…
The AgentForge team introduced typed contracts for inter-agent communication to ensure reliable, deterministic behavior in multi-agent systems. The framework validates input and output schemas before execution, halting p…
IgniteTech CEO Eric Vaughan laid off nearly 80% of the company's workforce after employees refused to adopt AI tools, leading to a leaner organization with 75% EBITDA margins and nine-figure revenues by the end of 2024.
Generative AI tools often produce better R code when given extra setup, such as custom knowledge files and specialized agents like Posit Assistant. Experts recommend moving from chatbots to coding agents for improved res…
Jeff Haemer, a software veteran since the 1980s, built a production-ready AI agent with 250 unit tests and three interfaces in six weeks through a Python Agentic AI cohort, overcoming challenges with mocking and interfac…