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AI editors like Cursor can generate code with remarkable speed using LLMs, handling boilerplate and providing functional snippets for various tasks. However, when building robust systems, functional correctness is only the starting point. Code must also be safe, predictable, maintainable, and free from subtle side effects. Unmesh Joshi demonstrates, through a dialogue between a developer and an LLM , how expert guidance is crucial to transform an initial, potentially unsafe code snippet into a r
Google Cloud Next 2025 was a showcase of groundbreaking AI advancements. In this post, I’m excited to share some of my personal highlights and key takeaways from the conference. Gemini 2.5 and the Live API Google continues to push the boundaries of AI with their latest “thinking model” Gemini 2.5. Thinking refers to an internal reasoning process using the first output tokens, allowing it to solve more complex tasks.
As far as many C-suite business and IT executives are concerned, their company data is in great shape, capable of fueling data-driven decision-making and delivering AI-powered solutions. But the closer an IT leader is to that data, the less confidence they have in its quality, according to a recent survey from IT consulting firm Softserve, which found that nearly half of C-level execs at large enterprises, including C-level IT leaders, believe their organizations data is fully mature, while just
In today’s fast-paced digital environment, scaling represents both the greatest opportunity and challenge for startup founders. While launching a startup is difficult, successfully scaling requires an entirely different skillset, strategy framework, and operational systems. This guide explores essential frameworks, common pitfalls, and proven strategies to transform your promising venture into a market leader.
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
This Quick Gut Check That Can Save Your Team Hours of Rework You move fast. Decisions pile up. Calendars fill. But in the rush to deliver, its easy to overlook the moments that make or break real collaborationthe ones where people feel included, respected, and clear on whats happening and why. This simple collaboration checklist for leaders gives you a pause-and-reset moment before the next big move.
A New Era of Code Vibe coding is a new method of using natural language prompts and AI tools to generate code. I have seen firsthand that this change makes software more accessible to everyone. In the past, being able to produce functional code was a strong advantage for developers. Today, when code is produced quickly through AI, the true value lies in designing, refining, and optimizing systems.
A New Era of Code Vibe coding is a new method of using natural language prompts and AI tools to generate code. I have seen firsthand that this change makes software more accessible to everyone. In the past, being able to produce functional code was a strong advantage for developers. Today, when code is produced quickly through AI, the true value lies in designing, refining, and optimizing systems.
Organizations are increasingly using multiple large language models (LLMs) when building generative AI applications. Although an individual LLM can be highly capable, it might not optimally address a wide range of use cases or meet diverse performance requirements. The multi-LLM approach enables organizations to effectively choose the right model for each task, adapt to different domains, and optimize for specific cost, latency, or quality needs.
UV: The Engineering Secrets Behind Pythons Speed King Python packaging has long been a bottleneck for developers. Slow installations, complex dependency resolution, and fragmented tools. UV, the new package manager from Astral (creators of Ruff ), changes this by completely rethinking Python packaging from the ground up. Understanding Traditional Python Package Managers Python package managers like pip perform three core functions: 1.
Gen AI has entered the enterprise in a big way since OpenAI first launched ChatGPT in 2022. According to Precedence Research, the global gen AI market was over $25 billion in 2024 and is forecast to reach a staggering $803 billion by 2033. And AI at Wharton, part of the Wharton AI and Analytics Initiative at the UPenns Wharton School, together with consultancy GBK Collective, also found in a study of senior decision-makers that enterprises with 1,000 or more employees invested on average more th
On April 22, 2022, I received an out-of-the-blue text from Sam Altman inquiring about the possibility of training GPT-4 on OReilly books. We had a call a few days later to discuss the possibility. As I recall our conversation, I told Sam I was intrigued, but with reservations. I explained to him that we could only license our data if they had some mechanism for tracking usage and compensating authors.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
By Ivan Nikkhoo Over the past year, every investment opportunity weve evaluated has incorporated artificial intelligence in some capacity. This isnt just a passing trend it represents a fundamental shift in the venture capital ecosystem. Like the disruptive emergence of the internet three decades ago, AI is reshaping the very foundation of how we source, assess and support innovation.
Generative AI (GenAI) and large language models (LLMs) are becoming ubiquitous in businesses across sectors, increasing productivity, driving competitiveness and positively impacting companies bottom lines. However, as LLMs and GenAI become deeply integrated into your critical operations and decision-making processes, adversaries can exploit subtle vulnerabilities to manipulate your model outputs to coerce unauthorized behaviors or compromise sensitive information.
The wave of new tariffs introduced by the US administration will drive up technology prices, disrupt supply chains, and weaken global IT spending in 2025. Not only will these tariffs have a direct inflationary effect on technology prices in the US, but growing concerns about a broader economic slowdown will lead to weaker investment by [.
This is my personal review of a talk given by Martin Odersky at Scalar Conf 2025. If you would like to watch Martin’s talk, here you have it. Evolving Scala by Martin Odersky 1. The Retrospective When Scala emerged as a new programming language, it offered two main components in its value proposition. On one hand, it provided a unified paradigm that harmoniously merged object-oriented and functional programming.
Tech companies still hold a competitive edge when it comes to salaries, despite mass layoffs across the industry in recent years. Despite reductions in staff, there are tech skills that continue to demand a premium salary, driving industry competition to hire talent with the right skills. The average annual salary for tech professionals inside the tech industry is $114,861, while those outside it earn about $108,674, according to the Dice 2025 Tech Salary Report.
AI agents extend large language models (LLMs) by interacting with external systems, executing complex workflows, and maintaining contextual awareness across operations. Amazon Bedrock Agents enables this functionality by orchestrating foundation models (FMs) with data sources, applications, and user inputs to complete goal-oriented tasks through API integration and knowledge base augmentation.
In Q1 2025, we again saw investment in late-stage startups surge, while venture capitalists spent less money on seed- and early-stage startups globally. That continues a clear trend that has emerged from the Crunchbase dataset in recent quarters: Large, established startups are landing outsized deals and more money, while the youngest companies struggle with fewer investment dollars.
For the past decade and a half, I’ve been exploring the intersection of technology, education, and design as a professor of cognitive science and design at UC San Diego. Some of you might have read my recent piece for O’Reilly Radar where I detailed my journey adding AI chat capabilities to Python Tutor , the free visualization tool that’s helped millions of programming students understand how code executes.
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
Part 2: Observability cost drivers and levers of control I recently wrote an update to my old piece on the cost of observability , on how much you should spend on observability tooling. The answer, of course, is its complicated. Really, really complicated. Some observability platforms are approaching AWS levels of pricing complexity these days. In last weeks piece, we talked about some of the factors that are driving costs up , both good and bad, and about whether your observability bill is (or
TL;DR: Chancing the narrative on GitHub Copilot from focus on engineers to focus on a sturdy (DevOps) foundation to be able to go faster. Next frontier: the rest of our organization Premise: current narrative is not helping In my opinion we need to shift the narrative on enabling engineers to use GitHub Copilot. Currently there is a lot of focus on the engineers that can produce code easier and faster using GitHub Copilot.
In todays rapidly evolving business landscape, the role of the enterprise architect has become more crucial than ever, beyond the usual bridge between business and IT. In a world where business, strategy and technology must be tightly interconnected, the enterprise architect must take on multiple personas to address a wide range of concerns. These include everything from technical design to ecosystem management and navigating emerging technology trends like AI.
Training a frontier model is highly compute-intensive, requiring a distributed system of hundreds, or thousands, of accelerated instances running for several weeks or months to complete a single job. For example, pre-training the Llama 3 70B model with 15 trillion training tokens took 6.5 million H100 GPU hours. On 256 Amazon EC2 P5 instances (p5.48xlarge, each with 8 NVIDIA H100 GPUs), this would take approximately 132 days.
AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
This, from her Instagram on Saturday, is Jaqueline Cristian, the top-ranked Romanian womens professional tennis player and the 61st ranked woman player in the world. This, a fan creation that Cristian uploaded to her Instagram , is also, evidently, Jaqueline Cristian, which is deeply problematic. Last week, the Studio Ghibli AI controversy entered our timelines, disgusting its founder and raising deep concerns about the state of intellectual property law and how it applies to the rapidly advanci
The web will be far worse off if Google is forced to sell Chrome , even if it's to atone for legitimate ad-market monopoly abuses. Which mean we'll all be worse off as the web would lose ground to actual monopoly platforms, like the iOS App Store and Google's own Play Store. First, Chrome won the browser war fair and square by building a better surfboard for the internet.
Part 1: Is your observability a cost or an investment? In 2018, I dashed off a punchy little blog post in which I observed that teams with good observability seemed to spend around ~20-30% of their infra bill to get it. I also noted this was based on absolutely no data, only my own experiences and a bunch of anecdotes, heavily weighted towards startups and the mid-market tech sector.
Intro In the previous article , we analyzed how bad people are at their estimates and checked if probabilistic methods work for solving complex problems. Now, let’s try to use this knowledge with AI! Large Language models & Math LLMs are not designed to make complicated calculations; their role, in simple words, is to predict the most suitable, most probable order of words as their answer.
The 2025 Recruitment Playbook by Procom is a strategic guide tailored for hiring managers to navigate the evolving talent landscape. Highlighting innovations like AI-driven tools and data analytics, the playbook empowers leaders to streamline processes, enhance candidate experiences , and foster diversity and inclusion. It provides actionable insights for every recruitment stage—from sourcing and screening to onboarding and retention.
Bank of America will invest $4 billion in AI and related technology innovations this year, but the financial services giants 7-year-old homemade AI agent, Erica, remains a key ROI generator , linchpin for customer and employee experience , and source of great pride today. Few used the term agent, let alone agentic AI , in 2018, but the bank built a team of software engineers, linguistic specialists, and banking experts to create the small language model, which has been tuned over the years using
For ten years Ive been asking audiences of leaders this question: In the last year, has it been easier or harder to control your level of mental chatter? In every year of the last ten, the answer has been harder. It would seem, then, that the leadership curve on mental chatter is up and to the right. For example, a group of sixty-five leaders I spoke to this past week on the connection between effective self-management and positive leadership outcomes posted these overall results in a self-asses
Going public is not a decision any company takes lightly. For complex, high-revenue businesses in particular, an IPO filing reliably requires years of preparation and hefty investment. Likewise, postponing or canceling a planned debut is never a flippant choice. Sometimes theres a positive reason, like an acquirer swooping in with an attractive offer.
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