According to an InfoWorld opinion piece, the rise of AI coding agents will soon make human-readable programming languages like TypeScript, Python, and Rust obsolete, as agents will communicate directl…
Fireworks AI marketing lead Leo Zheng says the key to AI model selection is building a continual learning loop that feeds enterprise outcome data back into the system, rather than simply choosing the …
Data engineering agents are emerging but adoption is slow because large language models have only been reliably good at writing SQL for the past six to nine months, according to InfoWorld. Agents exce…
AI agent orchestration platforms, which coordinate role-based and task-based AI agents into multistep workflows, are among the hottest AI technologies of the year, with more than 60 commercial and ope…
In a nostalgic column, InfoWorld contributing editor Martin Heller recounts writing two shareware programs for Windows 3.x in the early 1990s — SYSBACK.EXE and WAVSHELL.EXE — and his recent attempt to…
A developer's context layer fails when reused because it hard-codes content instead of acting as an interface, argues a new analysis from InfoWorld. The piece, by an unnamed author, proposes a metadat…
Enterprises are facing three major AI security mistakes as AI agents move from pilots to production, according to an InfoWorld analysis. The mistakes include unvetted dependencies from package registr…
Enterprises are facing three major AI security mistakes as AI agents move from pilots to production, according to an InfoWorld analysis. The mistakes include unvetted dependencies from npm, PyPI, and …
Most organizations cannot determine the ROI of their AI initiatives because they lack the necessary data, according to an analysis by InfoWorld. Unlike cloud computing, which requires only cost and bu…
Software developers have abandoned traditional engineering norms and now rely heavily on large language models (LLMs) to write code, debug errors, and scaffold entire systems without fully understandi…
DeepSeek's 75% price cut on its V4-Pro model, reported in May 2026, exposes a deeper problem for AI founders: agentic products consume tokens far faster than model prices drop, according to a VentureB…
JetBrains announced JetBrains AI for Teams and Organizations, a governance layer for AI coding tools that connects existing AI agents and CLIs with shared context, automations, and cost controls. The …
Z.ai's open-weight GLM-5.2 model, released in June 2026, approaches proprietary system performance on coding and agentic tasks while compressing inference costs, according to benchmarks and developer …
Autonomous AI engineer agents are industrializing inefficient infrastructure patterns at scale because their specifications lack sustainability constraints, leading to over-provisioned clusters and ov…
Gartner predicts that enterprise AI token costs for developers could match or exceed their salaries within two years, driven by generative AI adoption and consumption-based pricing. Senior principal a…
Enterprises are increasingly moving AI workloads from public cloud to private infrastructure due to unpredictable token-based pricing and long-term cost risks. Private cloud AI offers financial predic…
Agentic coding tools are poised to trigger an explosion in software production, according to a technology commentator. The falling cost of development will enable companies to clear backlogs, build cu…
Enterprise cloud strategies are being reshaped by the high cost and data sensitivity of AI workloads, increasing the appeal of private, neocloud, and sovereign cloud options. New cyberthreats, shiftin…
A developer community consensus has emerged that AI coding agent effectiveness depends more on repository architecture than prompt engineering. Teams are adopting a standardized `AGENTS.md` file at th…
GitHub announced that all Copilot plans will transition to usage-based billing starting June 1, 2026, replacing Premium Request Units with GitHub AI Credits charged according to actual token consumpti…