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IBM
ibm.com > new > announcements > scarfbench-a-public-benchmark-for-java-framework-migration

ScarfBench: A public benchmark for java framework migration | IBM

22+ hour, 38+ min ago  (220+ words) As organizations modernize mission-critical systems, framework migration has become a strategic priority. At the same time, AI-assisted development tools are increasingly being used to accelerate these transitions. It is essential to ensure that enterprise applications after migration maintain functionality, quality…...

IBM
ibm.com > think > tutorials > ai-agent-security

AI Agent Security Best Practices and Tutorial | IBM

2+ day, 10+ hour ago  (1025+ words) In modern agentic AI and multi'agent architectures, securing AI systems against unauthorized access is essential. AI agents are rapidly moving from experimental demos to real'time, autonomous systems embedded in everyday workflows. As organizations integrate large language models (LLMs) into decision'making…...

IBM
ibm.com > think > x-force > post-auth-new-perimeter

Post-auth is the new perimeter: A simple example with big implications | IBM

2+ day, 20+ hour ago  (817+ words) Every now and then, something completely mundane sneaks up on you and delivers a security lesson you were not looking for. For me, it started with something embarrassingly ordinary: I needed to export a list of event attendees. Nothing exciting....

IBM
ibm.com > think > news > when-one-ai-model-isnt-enough

When one AI model isn’t enough | IBM

2+ day, 15+ hour ago  (1309+ words) Artificial intelligence is learning to delegate. For the past few years, the story of AI has been about making individual models bigger, smarter and faster. Now, a different idea is gaining ground: that the real power might come not from…...

IBM
ibm.com > think > topics > agentic-engineering

What is Agentic Engineering? | IBM

1+ week, 2+ day ago  (903+ words) In 2025, OpenAI cofounder Andrej Karpathy coined the term "vibe coding" to describe the free-form practice of prompting AI tools to generate code rather than writing code manually. However, with the start of 2026, the software industry needs terminology that better reflects…...

ibm.com
ibm.com > think > topics > llm-inference

What is LLM Inference? | IBM

1+ mon, 5+ day ago  (861+ words) This architectural complexity especially the need to process and attend to a large volume of tokens, makes LLMs expensive to train, often requiring massive datasets, specialized hardware and significant compute time.When trained, these models must be deployed to serve…...

IBM
ibm.com > think > topics > ai-native

What Is AI Native? | IBM

1+ mon, 1+ week ago  (845+ words) AI native" refers to something'usually a product, company or workflow'that was designed from the ground up with AI as a core component, not bolted on later as a mere feature. As artificial intelligence (AI) becomes embedded across industries, organizations increasingly…...

IBM
ibm.com > think > news > companies-stop-building-ai-agents-start-running-them

The year companies stop building AI agents and start running them | IBM

1+ mon, 2+ week ago  (1608+ words) This will be the year enterprises shift their attention away from building AI agents and toward the harder, more consequential work of operating them safely, at scale, and inside real business systems, according to one IBM expert. Just three years…...

IBM
ibm.com > think > tutorials > text-summarization-python

How to summarize text using Python NLP and extractive text summarization | IBM

1+ mon, 4+ week ago  (905+ words) AI Advocate & Technology Writer Modern transformer model architectures based on neural networks dominate many NLP tasks. This tutorial focuses on classical approaches that remain valuable in data science workflows where interpretability, limited dependencies and predictable summary length matter.These methods…...