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One week to TechCrunch Disrupt: What’s next for AI and software development18:01 First AI gave us code completion, predicting the lines of code, functions, and boilerplate we needed based on what we’d already typed. Then came code suggestions and code generation, where AI writes new code or improves existing code based on a natural language prompt. Today, coding agents can look at your code, suggest improvements, compile and test the improved code, and iterate on that to come… ServiceNow takes aim at enterprise AI’s workflow bottleneck with AI Workflow Factory15:20 ServiceNow has launched two AI solutions that can help enterprises identify business processes ripe for automation, build the workflows to address them, and continuously improve them with AI agents. AI Workflow Factory and Autonomous Engineer, announced on Tuesday, will bring process discovery, AI-assisted development and workflow execution into a single system that ServiceNow says can help enter… Don’t buy a consultant’s AI framework11:44 Every major consulting firm offers its own prebuilt architectural framework, model, or reference architecture for generative AI and agentic AI . The pitch is nearly identical from firm to firm: “We’ve done this before, we’ve packaged the patterns, and if you start from our blueprint, you’ll get down the path faster.” It’s an age-old consulting technique. Get the client interested in an out-of-the… Money can’t buy enterprise trust11:44 I thought the AI boom was producing a new level of bad behavior , what with MongoDB CEO CJ Desai peacing out, not to mention Google’s earlier controversial “acquihire ” of Windsurf’s executive team. But I was wrong: Money has a long history of hollowing out our ethical norms. The problem in these and other AI moves isn’t really about the money, but rather about the trust, or lack thereof, left in… JDK 27: The quiet before the storm5.října Every September, with metronomic regularity, we have a new version of the Java platform. One small point about timing is that the first release candidate of JDK 27 was delayed by two weeks due to the release of the first Critical Security Patch Update (CPSU) for the JDK. The need for a CPSU is a direct implication of AI models , such as Anthropic’s Claude Mythos, becoming much better at identifyi… What cloud infrastructure taught me about building billing systems5.října For years, I thought of billing as a domain I would have to learn from scratch. Ledgers. Taxes. Proration. Regulations. Money. After 11 years building cloud datacenter management systems, I assumed my infrastructure experience would take me only so far. I was wrong. A few years ago, when I began working on billing, what surprised me most wasn’t how different the domain was. It was how familiar th… Knowing which vulnerability to fix first5.října Common Vulnerability Scoring System (CVSS) severity tells you how serious a vulnerability could be. Exploit Prediction Scoring System (EPSS) estimates how likely exploitation is in the next 30 days. Neither one, by itself, tells you what your team should fix first. Run a dependency scan on any moderately sized JavaScript project and you will probably see a table of findings, many of them labeled … IBM’s Bob wants to move in: Agent available for on-prem deployment2.října Bob, IBM’s agentic software development platform is now available to run on premises and in private clouds, sovereign clouds, and air-gapped environments to give users more control over their data. IBM is hoping to lure companies operating in heavily regulated environments or managing sensitive source code and regulated data. In such environments, running AI operations means that they are under s… AI is less dangerous than humans2.října Over the past few weeks, people have been pushing a stack of reports at me as evidence that AI is dangerous to humanity. The OpenAI incident disclosures , the METR and Redwood Research joint investigation, the Nightingale Collective’s DseWiki report, and Ruby Central’s RubyGems update are the latest chapter in a story many people already believe: The machines are turning on us, and this time we h… AI could boost software engineer productivity by 32.6%2.října Tools such as Anthropic Claude Code or OpenAI Codex have changed the face of software development, and all the signs are that this investment is set to increase further. But is paying a monthly subscription (and perhaps additional usage fees) cost-effective? Will the increasing level of investment in AI-generated software prove to be worthwhile? That’s a question several economists from the US Na… Microsoft, Google back Apache Ossie to make enterprise data and AI platforms more interoperable1.října Microsoft and Google are joining a project to create an open specification for exchanging semantic models across data, analytics, and AI platforms. The project already has the backing of over 60 companies including Databricks, Informatica, Mistral AI, Nvidia, Oracle, Salesforce, and Snowflake. Their support for Ossie makes it a little more likely that future analytics platforms will be interopera… Google makes Gemini 4 AI model available to a trusted few1.října Google has unveiled a new frontier AI model after months of delay. Gemini 4 Argon is designed to handle complex, long-horizon workloads spanning software engineering, enterprise knowledge work such as legal and financial analysis, and cybersecurity. But only a few organizations can get their hands on it for now. Argon is “rolling out to a set of trusted cyber defenders through our Fairwind Progra… Microsoft doubles down on Rust1.října After many years of watching how Microsoft develops platforms and rolls out technologies to external users, one thing is clear: anything that is important to Microsoft internally quickly becomes important to anyone building on top of Windows or Azure. The transition from internal to external tooling invariably takes the form of new features in Visual Studio and Visual Studio Code . Often these ca… The dream of enterprise semantics: Why this time is different1.října In most companies, the struggle to answer a new question fast has nothing to do with a lack of data. The problem is a lack of semantics. Or to put it another way, a lack of agreement about what the data means . Suppose a CFO wants to generate a new report on revenue by customer segment. It sounds simple, but in practice, for the employees tasked with executing the CFO’s directive, it means a mult… OpenAI bets enterprises are ready to delegate real work to autonomous agents1.října OpenAI says true agentic AI has finally arrived, pushing beyond the trivial capabilities of early-stage virtual assistants. This week at OpenAI Dev Day , the company introduced Dots, which CEO Sam Altman described as “remarkably capable, always-on” agents powered by GPT‑6 Astra. Dots have their own cloud computer, can be accessed in ChatGPT, Slack, or Teams, and plug into more than 4,000 apps bas… |