The rapid uptake of agentic AI has exposed a range of issues with our non-deterministic helpers. That’s mainly because AI agents are not people and don’t behave like people, even though they generally use the same APIs as humans. For one thing, they make many more queries than a human would, as they build the necessary context to deliver a response.
Anecdotal data from companies that have worked with agents or who have users who access services through agents indicate that this can mean massive increases in API usage, which have affected availability. This increase is the result of automated requests flooding in and blocking calls and responses from APIs that worked perfectly well a year or so ago but now are struggling to cope with the load.
A fundamental redesign of our APIs is necessary, but budgets, resourcing, and capacity make this hard to deliver overnight. What’s needed, then, is a way to manage agent interactions with APIs, treating agents as a new class of user, providing and
For years, software developers on H-1B visas benefited from steady demand among US technology employers. That market is becoming more selective as companies redirect spending toward AI and rely more heavily on coding assistants.
Recent layoffs at companies including Meta and Amazon have added to the uncertainty, with engineering and software roles affected even as major technology companies continue to deepen investments in AI.
Developers and analysts say traditional engineering roles are becoming harder to land, recruiters are asking more often for AI-related experience, and workers are being pushed to keep pace with tools such as GitHub Copilot, Claude, and ChatGPT.
The shift is being driven by both AI investment and broader economic uncertainty, according to Pareekh Jain, CEO of Pareekh Consulting. Companies are changing the profile of the developers they want, hiring fewer people in some areas while paying more for AI talent.
“AI investments are changing company hiring strategy,” J
For years, software developers on H-1B visas benefited from steady demand among US technology employers. That market is becoming more selective as companies redirect spending toward AI and rely more heavily on coding assistants.
Recent layoffs at companies including Meta and Amazon have added to the uncertainty, with engineering and software roles affected even as major technology companies continue to deepen investments in AI.
Developers and analysts say traditional engineering roles are becoming harder to land, recruiters are asking more often for AI-related experience, and workers are being pushed to keep pace with tools such as GitHub Copilot, Claude, and ChatGPT.
The shift is being driven by both AI investment and broader economic uncertainty, according to Pareekh Jain, CEO of Pareekh Consulting. Companies are changing the profile of the developers they want, hiring fewer people in some areas while paying more for AI talent.
“AI investments are changing company hiring strategy,” J
Snowflake said it plans to acquire US-based startup Natoma to boost governance, security, and connectivity for AI agents operating across heterogeneous enterprise environments, amid growing efforts by organizations to move agentic AI workflows from pilots into production.
The cloud data platform provider is betting that enterprises will increasingly require centralized governance, identity controls, and auditability as AI agents begin interacting more deeply with internal applications, APIs, and business workflows through the emerging Model Context Protocol (MCP) standard, an area in which Natoma claims to specialize.
Natoma’s platform, which provides MCP-based tool access along with governance and observability capabilities, will be integrated into Snowflake to help enterprises securely connect Cortex Agents, Snowflake Intelligence, Cortex Code, and other AI platforms with enterprise systems spanning SaaS applications, cloud environments, VPCs, and on-premises infrastructure through M
Attackers drained an estimated $200,000 from DeFi liquidity pools on Ethereum — specifically Uniswap V3 — after exploiting weaknesses in the WUSD.fi and GLOVE incentive system, according to security researchers at ExVul. The attackers cycled funds through multiple wallets to repeatedly farm rewards, taking advantage of flaws baked into the protocol’s incentive structure. Related Reading: […]
Robinhood is enabling AI agents to trade stocks and make payments on users’ behalf, marking a significant push into agentic finance. Users can now create dedicated accounts for their AI agents, preload them with funds, and connect them via the platform’s Model Context Protocol server to execute trades, analyse portfolio risk, and identify new investment […]
Artificial intelligence is restructuring medicine from the exam room to the lab bench. The companies doing it most consequentially are not just digitizing old workflows — they are replacing the underlying logic of how care gets documented, how drugs get discovered, how patients move through the system, and how clinicians access knowledge. From cardiothoracic imaging to whole-brain […]
Fujitsu has announced a self-evolving multi-AI agent system in which teams of AI agents continuously improve their own performance by learning from operational results, human feedback, regulatory changes, and specification updates — without requiring constant intervention from human experts. The core innovation is the agents’ ability to identify the reasons behind both successes and failures, extract actionable […]
