From Containers to Sandboxes: Developer Trust in the Agentic Era
The 2026 Stack Overflow Developer Survey shows only 7% of developers trust AI output for important decisions. Here’s what that means for running agents safely.
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The 2026 Stack Overflow Developer Survey shows only 7% of developers trust AI output for important decisions. Here’s what that means for running agents safely.
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A recent InfoQ webinar examined operational challenges in deploying agentic systems. Key points included issues like semantic and embedding drift, which can lead to significant errors. Experts discussed the need for automated code reviews, continuous evaluation of models, and enhanced privacy measures. The session…
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Neon Realtime is live in public beta. Any SQL query can now be a live query. Subscribe to it and the result stays up to date as your data changes. That makes your whole app reactive, with no polling or refetch logic.
Brendan O'Leary discusses how real world AI adoption depends on building trust rather than chasing model benchmarks. Drawing from 40 trillion tokens of usage data, he explains the four rungs of the AI adoption ladder and analyzes key failure points in context construction, multi model routing, and feedback loops to…
Netflix plugged JetBrains& 8217; headless code intelligence engine – the same one behind IntelliJ IDEA – into Claude Code and Codex, then benchmarked it against a variety of scenarios. The details and numbers are available below. At a glance Company Netflix – Application Development Platform (ADP), GenAI Platform,…
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Google has introduced support for local models in the Antigravity SDK, enabling developers to build and execute agentic workflows directly on their own machines, while retaining the flexibility to mix in cloud based models for higher level tasks. This approach gives developers greater control over data privacy,…
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