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GitLab’s Field CTO Predicts: When DevSecOps Meets AI
Brian Wald What’s in store for us in 2025 — and beyond? Brian Wald, GitLab‘s field CTO and global head, predicts we’re heading toward a future where security and operational responsibilities are...
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How To Add Tool Support to AI Agents for Performing Actions
In the process of developing a framework for implementing AI agents, we have explored core components like personas, instructions, tasks, and execution strategies. These elements shape the cognitive...
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Amazon’s Bedrock Can Now ‘Check’ AI for Hallucinations
AWS rolled out a new capability to its AI managed service solution that it says can fact-check AI models mathematically to reduce the chance of hallucinations. Amazon Bedrock is a managed service that...
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What Tabnine Learned from Building an AI Code Assistant
Developers continue to be both curious and sceptical about AI coding tools, but also ready to use them. Gartner says 14% of enterprise developers are already using AI coding assistants, a third of the...
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CodeGate: Open Source Tool Secures AI Coding Assistants
That friendly, ever-so-helpful AI coding assistant? You can’t trust it. Most programmers now use AI coding assistants such as GitHub Copilot, ChatGPT, and Amazon Q Developer. In fact, according to a...
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Developers Testing More, JetBrains Study Finds
Developers are doing more testing, according to a recent JetBrains report on the State of Developer Ecosystems. The percentage of developers who test has gone up from 85% last year to 95% in 2024. The...
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Developer Guide to the CrewAI Agent Framework for Python
CrewAI is one of the most popular Python frameworks, designed to enable intelligent multiagent collaboration — transforming the way developers approach complex AI workflows. Unlike traditional...
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Cerbrec: A Framework for Python Devs Without AI Experience
Researchers love PyTorch. However, it takes considerable skill to use the framework for deep learning. Cerbrec is building a graph-based deep learning AI framework for researchers and developers. With...
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AI, Hardware and Open Models: Headed in the Linux Direction
From the 1960s onwards, IBM’s mainframe systems started the era of proprietary hardware and software, which trickled into the PC era. In the early 1990s, Linux broke that chokehold, emerging as an...
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Observability in 2025: OpenTelemetry and AI to Fill In Gaps
Observability, like software testing, should be a way to detect and analyze any code anywhere in the supply chain or on a network. It should predict coming errors and even disasters, or the...
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Open Source in 2025: Strap In, Disruption Straight Ahead
The open source software world can feel like a bubble at times, one in which people who love to solve problems go and tinker with solutions, share ideas freely and build global communities of...
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What 2024’s Data Told Us About How Developers Work Now
2024 saw The New Stack report on a variety of survey-based research about software development. Here are the takeaways we think are most relevant to you as you plan for 2025. Platform Engineering and...
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Developer Productivity in 2025: More AI, but Mixed Results
The big story in developer productivity in 2024 was the widespread adoption of generative AI for software development. But was GenAI a game-changer for developer experience — or will it be in 2025?...
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Database Trends: A 2024 Review and a Look Ahead
For databases, 2024 was a year for both classic capabilities and new features to take priority at enterprises everywhere. As the pressure increased for organizations to operate in a data-driven...
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How CrewAI Enables AI Agents as Collaborative Team Members
In part one of this series, we introduced CrewAI by mapping its features to the key attributes of an AI agent. Now, we will take a closer look at the core concepts that make CrewAI truly powerful and...
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Ethical and Explainable AI Are Startup Imperatives in 2025
In 2024, generative AI permeated the workplace, with businesses using the technology for various purposes, from internal productivity tools to customer-facing products and services. However, many are...
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The Emergence of Generalist Multimodal AI Models
Interest in multimodal large language models (MLLMs) has exploded over the last year or so thanks to their versatile capabilities in tackling tasks across multiple varieties of data — text, images and...
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Wrangling Data Is Becoming Critical in an AI-Driven World
Like the move to mobile, the transition to the cloud, and the onset of virtualization, the global proliferation of artificial intelligence has fundamentally changed digital architectures. Today’s...
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Open Source in 2025: What Will Matter Most This Year?
2024 didn’t fail to disappoint in delivering another roller coaster of a year for open source software. Open source isn’t just code today, it’s a philosophy that we have seen put under serious...
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A Developer’s Guide to the AutoGen AI Agent Framework
AutoGen is a popular framework among Python developers for building multi-agent AI systems through sophisticated, conversation-driven collaboration and human-in-the-loop capabilities. Developed by...
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