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AI-powered coding agents are now real and usable, if not without their foibles. Here’s a brief look at the top prospects.
Databases will soon be capable of monitoring their own health, identifying bottlenecks, adjusting configurations, and even rerouting traffic in real time.
The humble database offers the key to giving AI context and adaptation, accessing data beyond its training cutoff.
The as-yet-unnamed language in development would produce cross-platform applications and make AI code generation more controllable, transparent, and useful.
Analysts advise IT leaders to experiment cautiously as pricing volatility, latency, and security concerns plague early adopters of autonomous development tools.
Now in public beta, developers can use Opal to build and remix AI mini apps using conversational natural language commands, a visual editor, or both.
Fine-tuned “student” models can pick up unwanted traits from base “teacher” models that could evade data filtering, generating a need for more rigorous safety evaluations.
Combining an innovative hybrid data store and intelligent retrieval, Mem0 provides a robust foundation for building personalized AI experiences that improve over time.
Update to the MCP SDK for C# brings an improved authentication protocol, elicitation support, structured tool output, and support for resource links in tool responses.
Consider these six ways to approach AI to help your organization unlock efficiencies while preventing major setbacks and significant cost overruns.
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