ContentPosts from @kala..
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@kala shared a link, 5 days, 18 hours ago
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Qwen3.7-Plus: Multimodal Agent Intelligence

Qwen3.7-Plus is a powerful multimodal agent that seamlessly blends GUI and CLI interactions, excelling in coding, tool use, and productivity workflows. It generalizes across diverse agent frameworks, delivering competitive text performance and strong reasoning abilities across challenging STEM bench.. read more  

Qwen3.7-Plus: Multimodal Agent Intelligence
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@kala shared a link, 5 days, 18 hours ago
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Rethinking Search as Code Generation

Perplexity's engineers introduced Search as Code, and developers use its Python SDK to call low-level retrieval primitives instead of sending queries to one search endpoint... read more  

Rethinking Search as Code Generation
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@kala shared a link, 5 days, 18 hours ago
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Top 7 Python Libraries for Large-Scale Data Processing

This article covers Python libraries that make large-scale data processing faster, more scalable, and easier to manage across modern data workflows... read more  

Top 7 Python Libraries for Large-Scale Data Processing
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@kala shared a link, 5 days, 18 hours ago
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Building a Continuous Conversational Insights Pipeline in BigQuery

This deep dive reveals a cutting-edge conversational analytics pipeline using Google Cloud and BigQuery to tackle multi-departmental data segmentation challenges with a hybrid semantic filtering approach. By pre-segmenting data and running targeted models, the pipeline uncovers granular insights oft.. read more  

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@kala shared a link, 5 days, 18 hours ago
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Introducing Claude Opus 4.8

Claude Opus 4.8 delivers top-tier performance with honest and powerful collaboration, outpacing prior models and GPT-5.5 across multiple benchmarks. Opus 4.8's cutting-edge abilities and improved judgment set a new standard for enterprise AI, enhancing reliability and reasoning quality, ready for im.. read more  

Introducing Claude Opus 4.8
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@kala shared a link, 3 weeks ago
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Create Custom MCP Catalogs and Profiles

Docker made Custom Catalogs and Profiles available for MCP servers. Admins can distribute server catalogs they approve, and teams can package per-developer configurations as OCI artifacts... read more  

Create Custom MCP Catalogs and Profiles
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@kala shared a link, 3 weeks ago
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AI Is Doing the Testing Now

Brijesh Deb's third "comfortable lie" of software testing is that AI is now doing the testing: coverage dashboards hit 80%+, regression suites maintain themselves, and leadership concludes that risk is handled, while the experienced testers who knew the domain quietly get redeployed or made redundan.. read more  

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@kala shared a link, 3 weeks ago
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How Code works in large codebases: Best practices and where to start

Anthropic breaks down the patterns behind successful Claude Code rollouts in monorepos, legacy systems, and codebases spanning thousands of developers, arguing that Claude Code performs agentic search over a live filesystem instead of relying on a RAG index that drifts out of sync with active engine.. read more  

How Code works in large codebases: Best practices and where to start
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@kala shared a link, 3 weeks ago
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Claude’s next enterprise battle is not models: it’s the agent control plane

New data shows Microsoft and OpenAI leading agent orchestration, but Anthropic's rising stake signals a shift in control of AI infrastructure. Anthropic's move from model to orchestration layer hints at a strategic battle over agent runtime platforms where operational AI work happens... read more  

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@kala shared a link, 3 weeks ago
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Tokenomics: the 62.5-minute rule for Claude's cache

Ryan Skidmore works out the tokenomics of Anthropic's prompt cache and lands on a single rule: if you expect to need a cached prefix again within 62.5 minutes, keep refreshing it with cheap reads; past that, let it expire and rewrite, because a 5-minute cache write costs 1.25x base input and a read .. read more  

Tokenomics: the 62.5-minute rule for Claude's cache