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O’Reilly : radar
07  novembre     12h18
Scale Tiny Projects into a Resilient Data Culture
Kord Davis    In today’s fast-paced business environment, the ultimate goal of any data effort is to enable better decisions and drive meaningful organizational outcomes. Too often, data initiatives fail because they treat data or data culture as the final product. However, the journey to a data-driven...
06  novembre     12h15
Data Engineering in the Age of AI
Andy Kwan    Much like the introduction of the personal computer, the internet, and the iPhone into the public sphere, recent developments in the AI space, from generative AI to agentic AI, have fundamentally changed the way people live and work. Since ChatGPT’s release in late 2022, it’s reached a threshold of...
    10h52
Jensen Huang Gets It Wrong, Claude Gets It Right
Tim O’Reilly    In a recent newsletter, Ben Thompson suggested paying attention to a portion of Jensen Huang’s keynote at NVIDIA’s GPU Technology Conference (GTC) in DC, calling it an excellent articulation of the thesis that the AI market is orders of magnitude bigger than the software market. While I’m reluctant...
05  novembre     12h12
Think Smaller: The Counterintuitive Path to AI Adoption
Ben Lorica    The following article originally appeared on Gradient Flow and is being reposted here with the author’s permission. We’re living through a peculiar moment in AI development. On one hand, the demos are spectacular: agents that reason and plan with apparent ease, models that compose original songs...
04  novembre     18h14
Balancing Cost, Power, and AI Performance
Eduardo Alvarez    The next time you use a tool like ChatGPT or Perplexity, stop and count the total words being generated to fulfill your request. Each word results from a process called inference the revenue-generation mechanism of AI systems where each word generated can be analyzed using basic financial and...
    12h02
Radar Trends to Watch: November 2025
Mike Loukides    AI has so thoroughly colonized every technical discipline that it’s becoming hard to organize items of interest in Radar Trends. Should a story go under AI or programming (or operations or biology or whatever the case may be)? Maybe it’s time to go back to a large language model that doesn’t...
03  novembre     10h47
On the AWS Outage
Mike Loukides    Everybody notices when something big fails like AWS’s US-EAST-1 region. And fail it did. All sorts of services and sites became inaccessible, and we all knew it was Amazon’s fault. A week later, when I run into a site that’s down, I still say, Must be some hangover from the AWS outage. Some cache...
30  octobre     11h29
Generative AI in the Real World: Chris Butler on GenAI in Product Management
Ben Lorica and Chris Butler    In this episode, Ben Lorica and Chris Butler, director of product operations for GitHub’s Synapse team, chat about the experimentation Chris is doing to incorporate generative AI into the product development process particularly with the goal of reducing toil for cross-functional teams. It isn’t...
28  octobre     11h08
The Java Developer’s Dilemma: Part 3
Markus Eisele    This is the final part of a three-part series by Markus Eisele. Part 1 can be found here, and Part 2 here. In the first article we looked at the Java developer’s dilemma: the gap between flashy prototypes and the reality of enterprise production systems. In the second article we explored why new...
27  octobre     11h41
AI Integration Is the New Moat
Tim O’Reilly    The electrical system warning light had gone on in my Kona EV over the weekend, and all the manual said was to take it to the dealer for evaluation. I first tried scheduling an appointment via the website, and it reminded me how the web, once a marvel, is looking awfully clunky these days. There [&]
23  octobre     11h14
Code Generation and the Shifting Value of Software
Tim O'Brien    This article originally appeared on Medium. Tim O’Brien has given us permission to repost here on Radar. One of the most unexpected changes in software development right now comes from code generation. We’ve all known that it could speed up certain kinds of work, but what’s becoming clear is that...
22  octobre     11h14
AI Is Reshaping Developer Career Paths
Andrew Stellman    This article is part of a series on the Sens-AI Framework practical habits for learning and coding with AI. Read the original framework introduction and explore the complete methodology in Andrew Stellman’s O’Reilly report Critical Thinking Habits for Coding with AI. A few decades ago, I worked...
21  octobre     11h17
The Java Developer’s Dilemma: Part 2
Markus Eisele    This is the second of a three-part series by Markus Eisele. Part 1 can be found here. Stay tuned for part 3. Many AI projects fail. The reason is often simple. Teams try to rebuild last decade’s applications but add AI on top: A CRM system with AI. A chatbot with AI. A search engine [&]
20  octobre     11h25
A Human-Centered Approach to Competitive Advantage
Kord Davis    In the modern enterprise, information is the new capital. While companies pour resources into artificial intelligence, many discover that technology, standing alone, delivers only expense, not transformation. The true engine of change lies not in the algorithm but in the hands and minds of the...
16  octobre     11h18
Generative AI in the Real World: Context Engineering with Drew Breunig
Ben Lorica and Drew Breunig    In this episode, Ben Lorica and Drew Breunig, a strategist at the Overture Maps Foundation, talk all things context engineering: what’s working, where things are breaking down, and what comes next. Listen in to hear why huge context windows aren’t solving the problems we hoped they might, why...