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AWS boosts CloudWatch Logs query limits by 10x to ease debugging for developers, SREs 21 LLMs tuned for special domains The new AI lock-in AWS adds Advanced Prompt Optimization tool to Bedrock Capacity markets could reshape cloud computing Four cutting-edge tools for spec-driven development Anthropic puts Claude agents on a meter across its subscriptions Notion courts developers with a platform for AI agents and workflow automation Using continuous purple teaming to protect fast-paced enterprise environments A better way to work with SQL Server Evidence-driven workflows: Rethinking enterprise process design AWS debuts Graviton-powered Redshift RG instances to cut analytics costs SAP’s AI promises last year? Most are still rolling out First look: Lemonade serves up local AI with limitations GitLab CEO sees developer tool bill increasing 100-fold Red Hat adds support for agentic AI development What’s new and exciting in JDK 26 Kill the loading spinner with local-first data and reactive SQL A networking revolution at AWS Tokenmaxxing is super dumb Hands-on with React, Supabase, and PowerSync How to add AI to an existing product (without annoying users) Your AI doesn’t need another database What happens when engineering teams reorganize around AI agents Python isn’t always easy When cloud giants meddle in markets 12 model-level deep cuts to slash AI training costs The best new features in Python 3.15 Teradata launches platform for enterprise AI agents moving beyond pilots Three skills that matter when AI handles the coding MongoDB targets AI’s retrieval problem Building AI apps and agents with Microsoft Foundry Designing front-end systems for cloud failure No, AI won’t destroy software development jobs Diskless databases: What happens when storage isn’t the bottleneck Vibe coding or spec-driven development? The agentic AI distraction Vibe coding or spec-driven development? 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Exciting Python features are on the way
by Serdar Yegulalp Senior Writer · 2026-04-17 · via InfoWorld

Don’t miss the transformative improvements in the next Python release – or these eight great reads for Python lovers.

Transformative new Python features are coming in Python 3.15. In addition to lazy imports and an immutable frozendict type, the new Python release will deliver significant improvements to the native JIT compiler and introduce a more explicit agenda for how Python will support WebAssembly.

Top picks for Python readers on InfoWorld

Speed-boost your Python programs with the new lazy imports feature
Starting with Python 3.15, Python imports can work lazily, deferring the cost of loading big libraries. And you don’t have to rewrite your Python apps to use it.

How Python is getting serious about Wasm
Python is slowly but surely becoming a first-class citizen in the WebAssembly world. A new Python Enhancement Proposal, PEP 816, describes how that will happen.

Get started with Python’s new frozendict type
A new immutable dictionary type in Python 3.15 fills a long-desired niche in Python — and can be used in more places than ordinary dictionaries.

How to use Python dataclasses
Python dataclasses work behind the scenes to make your Python classes less verbose and more powerful all at once.

More good reads and Python updates elsewhere

Progress on the “Rust for CPython” project
The plan to enhance the Python interpreter by using the Rust language stirred controversy. Now it’s taking a new shape: use Rust to build components of the Python standard library.