Google EnvHarness Enables Self-Evolving Agents to Learn in Dynamics Environments
Google researchers open sourced EnvHarness, a framework that dynamically adapts agent-training environments to an agent's weaknesses without modifyi…
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AI in Production: Panellists Highlight Silent Failures, Harness Engineering, and Agent Governance
A recent InfoQ webinar examined operational challenges in deploying agentic systems. Key points included issues like semantic and embedding drift, w…
AWS Introduces Strands Decider 2B and Strands Box for AI Agent Development
AWS has introduced two open-source projects for AI agent development: Strands Decider 2B, a small model designed to make decisions within agent work…
Google Antigravity SDK Adds Local Model Support for Greater Token Efficiency and Code Privacy
Google has introduced support for local models in the Antigravity SDK, enabling developers to build and execute agentic workflows directly on their…
Production Patterns for Agents, Evals, and LLM Costs: QCon AI New York 2026
Once AI is in production, code arrives faster than it can be reviewed, token costs rise, evals have to be good enough to act on, and agents need per…
Context Language Models: Self-Managing Context to Improve Performance and Reduce Compute Costs
Researchers from Meta, MIT, and the University of Washington introduce Context Language Models (CLMs), a new approach that enables language models t…
Android Bench 2 Adds Support for Long-Horizon Tasks, Agentic Evaluation, and Continuous Scoring
Google has released Android Bench 2.0, a major update to its benchmark framework for evaluating AI models and agents on Android development tasks. T…
Cloudflare Open Sources Decision Models for AI Agents
During its recent “Birthday Week”, Cloudflare announced Clef, a set of open-weight AI models designed to choose between predefined options rather th…
Presentation: Building Reusable Evaluation Frameworks for Agentic AI Products
Susan Chang explains how Elastic transitioned from siloed, ad-hoc AI agent evaluations to a unified, production-grade framework. She discusses balan…
Podcast: Future Cybersecurity: Hardware Memory Safety, Automated Governance and Post-Quantum Cryptography
In this episode, Chris Swan, engineer at Atsign and security track host at QCon London, reflects on the ideas shared during QCon London 2026 and tea…
Article: The Platform Engineering Playbook for Production LLMs
In this article, author discusses his experience with AI agent hallucinations in an inventory recommendation system and how this problem was solved…
Presentation: Building GenAI Platform at DoorDash
Swaroop Chitlur and Sidd Kodwani share DoorDash’s journey building an internal GenAI platform. They discuss core architectural bets, transitioning f…
OpenAI DevDay 2026 Recap for Developers
OpenAI announced a series of product and developer updates at DevDay 2026, including GPT-6.1 Sol, computer use for the Agents API, cloud-based Codex…
DigitalOcean Managed Agents Brings Managed Cloud Infrastructure to AI Agents
DigitalOcean recently launched DigitalOcean Managed Agents in public preview, offering a managed cloud infrastructure layer for AI agents with isola…
Presentation: From Consumers to Builders: Turning 200 of our Team into Agent Creators in 2 Weeks
Ben Maraney shares how Forter demystified AI agent creation for technical and non-technical staff. He discusses leveraging custom MCP servers, combi…
Google Rewrites Critical C Dependencies to Rust Using AI and Differential Fuzzing
Google's security team developed a method to replace legacy C code in the giflib image-processing library with Rust, targeting inherent memory vulne…
Podcast: The Future of AI: From Enterprise Adoption to Open Source Sovereignty
In this episode, Meryem Arik, Clara Higuera Cabañes, and Jeff Smith, demystify the current state of AI in the enterprise. The discussion navigates t…
Un-Mused: How a Single Debug Setting Bypassed macOS Security in Meta’s AI Client
Security researcher Patrick Wardle revealed an unpatched zero-day vulnerability in Meta's Muse desktop client for macOS. This flaw lets unprivileged…
Presentation: Designing Fast, Delightful UX With LLMs for Mobile Frontends
Balakrishnan Ramdoss discusses how to architect production-grade, AI-powered conversational apps at scale. He explains how to overcome model latency…
Graphify: Unifying Codebase Context to Streamline Agentic Software Engineering
Graphify is an open-source tool designed to convert codebases and unstructured data into queryable knowledge graphs. Launched in April 2026, it addr…
Presentation: The Agent Harness: Control Planes, Invariants, and Approval Boundaries for Production AI Agents
OpenAI’s Vinoth Govindarajan discusses why production AI agents fail beyond model hallucination. Using real-world case studies like OpenClaw, he exp…
Article: Beyond Relevance: A Governance-First Architecture for Enterprise Personalization
This article examines the limitations of conventional personalization systems and highlights the need for a governance-first architecture. It emphas…
Alibaba Open Sources OpenCodeReview for AI-Assisted Code Review
Alibaba recently open-sourced OpenCodeReview, an AI-powered code review CLI that combines deterministic pipelines for file selection, bundling, and…
Google Agent Development Kit for Kotlin Reaches Feature Parity with Python, Supports On-Device AI
Google has released the Agent Development Kit (ADK) for Kotlin 1.0, a production-ready framework for building AI agents across Kotlin, Android, and…
DoorDash Uses Multi Agent LLMs to Clean up 60,000 Feature Flags
DoorDash built a multi-agent LLM system to automate stale feature flag cleanup across more than 60,000 flags and 623 repositories. The workflow comb…
Dropbox Evolves Riviera Content Processing Platform to Support AI Workloads
Dropbox has evolved Riviera from a file preview service into a universal content processing platform supporting more than 300 file formats and over…
Article: Your Next DSL Author Is a Language Model
In this article, the author introduces Typed Domain Grounding, an approach to reducing LLM hallucinations in domain-specific languages by embedding…
Presentation: Decision Models in Agentic Architectures: From Production to Agent Skills
Alex Porcelli discusses the critical gap in enterprise AI: non-deterministic output and lack of accountability in high-stakes decisions. He shares h…
Independent Investigation of Hugging Face Incident Reveals How Agents Collaborated and Behaved
After six days of on-site investigation at OpenAI, a small team of METR and Redwood Research researchers provided an account of how OpenAI agents be…
Presentation: From Retrieval to Reasoning: Building Production-Ready Agentic AI Systems with Knowledge Graphs
Cassie Shum discusses why knowledge graphs serve as a critical foundation for agentic systems. Moving beyond basic RAG, she explains 4 practical arc…