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Google AI Releases a CLI Tool (gws) for Workspace APIs: Providing a Unified Interface for Humans and AI Agents

agentic ai, ai, AI (Artificial Intelligence), AI Agents, Artificial Intelligence, Editors Pick, New Releases, Open Source, Software engineering, Technology

Integrating Google Workspace APIs—such as Drive, Gmail, Calendar, and Sheets—into applications and data pipelines typically requires writing boilerplate code to handle REST endpoints, pagination, and OAuth 2.0 flows. Google AI team just released a CLI Tool (gws) for Google Workspace. The open-source googleworkspace/cli (invoked via the gws command) provides a unified, dynamic command-line interface to […]

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OpenAI Releases Symphony: An Open Source Agentic Framework for Orchestrating Autonomous AI Agents through Structured, Scalable Implementation Runs

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OpenAI has released Symphony, an open-source framework designed to manage autonomous AI coding agents through structured ‘implementation runs.’ The project provides a system for automating software development tasks by connecting issue trackers to LLM-based agents. System Architecture: Elixir and the BEAM Symphony is built using Elixir and the Erlang/BEAM runtime. The choice of stack focuses

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LangWatch Open Sources the Missing Evaluation Layer for AI Agents to Enable End-to-End Tracing, Simulation, and Systematic Testing

agentic ai, ai, AI (Artificial Intelligence), AI Agents, Artificial Intelligence, Editors Pick, New Releases, Open Source, Software engineering, Staff, Technology

As AI development shifts from simple chat interfaces to complex, multi-step autonomous agents, the industry has encountered a significant bottleneck: non-determinism. Unlike traditional software where code follows a predictable path, agents built on LLMs introduce a high degree of variance. LangWatch is an open-source platform designed to address this by providing a standardized layer for

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Alibaba Releases OpenSandbox to Provide Software Developers with a Unified, Secure, and Scalable API for Autonomous AI Agent Execution

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Alibaba has released OpenSandbox, an open-source tool designed to provide AI agents with secure, isolated environments for code execution, web browsing, and model training. Released under the Apache 2.0 license, the proposed system targets to standardize the ‘execution layer’ of the AI agent stack, offering a unified API that functions across various programming languages and

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Alibaba just released Qwen 3.5 Small models: a family of 0.8B to 9B parameters built for on-device applications

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Alibaba’s Qwen team has released the Qwen3.5 Small Model Series, a collection of Large Language Models (LLMs) ranging from 0.8B to 9B parameters. While the industry trend has historically favored increasing parameter counts to achieve ‘frontier’ performance, this release focuses on ‘More Intelligence, Less Compute.‘ These models represent a shift toward deploying capable AI on

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New ETH Zurich Study Proves Your AI Coding Agents are Failing Because Your AGENTS.md Files are too Detailed

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In the high-stakes world of AI, ‘Context Engineering’ has emerged as the latest frontier for squeezing performance out of LLMs. Industry leaders have touted AGENTS.md (and its cousins like CLAUDE.md) as the ultimate configuration point for coding agents—a repository-level ‘North Star’ injected into every conversation to guide the AI through complex codebases. But a recent

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Liquid AI’s New LFM2-24B-A2B Hybrid Architecture Blends Attention with Convolutions to Solve the Scaling Bottlenecks of Modern LLMs

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The generative AI race has long been a game of ‘bigger is better.’ But as the industry hits the limits of power consumption and memory bottlenecks, the conversation is shifting from raw parameter counts to architectural efficiency. Liquid AI team is leading this charge with the release of LFM2-24B-A2B, a 24-billion parameter model that redefines

Liquid AI’s New LFM2-24B-A2B Hybrid Architecture Blends Attention with Convolutions to Solve the Scaling Bottlenecks of Modern LLMs Read More »

How a Security Scan Changed My Approach to write Secure Code

ai, AI (Artificial Intelligence), Application Security, Artificial Intelligence, Backend Development, Backend Security, Code Review, cybersecurity, Dependency Management, Developer Mindset, DOMPurify, FastAPI, Frontend Security, Parameterized Queries, React Security, Secure Code, Security Misconfiguration, Security Scan, Software engineering, Spritle Blog, SpritleSoftware, SQL Injection, web development, XSS

It started like any normal day. The application was stable. Features were delivered on time. QA had signed off. From the outside, everything looked complete. Then the security scan report arrived. Pages of findings.High severity. Medium severity. Low severity. Nothing was broken. No alerts were firing. No users had reported issues.Yet the report told a

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Google Releases Conductor: a context driven Gemini CLI extension that stores knowledge as Markdown and orchestrates agentic workflows

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Google has introduced Conductor, an open source preview extension for Gemini CLI that turns AI code generation into a structured, context driven workflow. Conductor stores product knowledge, technical decisions, and work plans as versioned Markdown inside the repository, then drives Gemini agents from those files instead of ad hoc chat prompts. From chat based coding

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Why Most Agentic AI Projects Fail Before They Even Launch

agentic ai, ai, AI (Artificial Intelligence), AI Agents, AI APIs, AI Automation, AI engineering, AI Infrastructure, AI Integration, Artificial Intelligence, digital transformation, Enterprise AI, Enterprise Automation, Enterprise IT, Enterprise Software, Enterprise Technology, Generative AI, LLM Limitations, Software engineering, Spritle Blog, SpritleSoftware, workflow automation

AI agents are rapidly becoming one of the most talked-about innovations in enterprise technology. From autonomous task execution to end-to-end workflow automation, Agentic AI promises to move beyond chatbots and copilots into systems that actually do work. But here’s the uncomfortable truth: Most Agentic AI projects fail before they even launch. Not because the models

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