28 articles that week
Analytics Insight, Saturday, October 24th, 2026
Podcast: Eagle Information Systems CEO Subir Sangal on AI in security operations centers and making SOC services reachable for SMEs.
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O'Reilly, Friday, October 23rd, 2026
A framework for building agent-run software factories that work asynchronously and return verifiable results.
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InformationWeek, Friday, October 23rd, 2026
CIOs running small language models in production find savings are real but smaller than expected, with costs that appear after go-live.
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CIO, Friday, October 23rd, 2026
A technology leader urges CIOs to try open-weight AI models hands-on, noting the gap with frontier models is closing fast.
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InformationWeek, Friday, October 23rd, 2026
AI inherits bias from the data and decisions people write down, and CIOs explain how ownership and oversight can counter it.
more → Analytics Insight, Friday, October 23rd, 2026
AI image editors should be judged on what they leave untouched; vendor preservation claims vary and need independent testing.
more → VentureBeat, Friday, October 23rd, 2026
VentureBeat survey finds most firms' GPUs are underused, yet 70% plan new AI compute platforms, mostly without finance-reviewed ROI.
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VentureBeat, Friday, October 23rd, 2026
Study of Claude Code, OpenCode and mini-SWE-agent on fixed models finds harnesses change cost up to 3x with little accuracy difference.
more → The New Stack, Thursday, October 22nd, 2026
Ramp built its own agent harness, Laminar, for model independence and observability, and LangChain's CEO sees a broader trend.
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The New Stack, Thursday, October 22nd, 2026
Letta's FrontierMemory benchmark tests whether agents learn from past work; harness choice swung scores widely.
more → CIO, Thursday, October 22nd, 2026
An author argues that enterprise AI pilots fail because general-purpose model benchmarks don't match a company's actual requirements.
more → The New Stack, Thursday, October 22nd, 2026
A hands-on test of two low-cost models on coding, data Q&A and extraction finds DeepSeek slightly more accurate and cheaper.
more → TechTarget, Thursday, October 22nd, 2026
Analysts say enterprises are far from deploying proactive personal AI agents like Claude Duet because of governance and security concerns.
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InfoQ, Thursday, October 22nd, 2026
Manju Rajashekhar argues the actor model maps well to production AI agents' state, failure and supervision needs.
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CIO, Thursday, October 22nd, 2026
Ten guidelines from conversations with CIOs for moving AI from individual productivity wins to enterprise-scale value.
more → InfoWorld, Wednesday, October 21st, 2026
Martin Heller surveys model routing, which sends each request to the cheapest model able to handle it, and the tools that offer it.
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VentureBeat, Wednesday, October 21st, 2026
ScholarEvolve turns research papers into harness upgrades, lifting agent task completion by up to 12 points without retraining.
more → InfoWorld, Wednesday, October 21st, 2026
Survey of 415 software producers finds AI is everywhere but vendors favor predictable pricing over pure consumption models.
more → CIO, Wednesday, October 21st, 2026
AI agents gain authority through many small permission grants, so CIOs must govern what agents have become, not just what they were built for.
more → SecurityWeek, Tuesday, October 20th, 2026
Secure Code Warrior's Matias Madou maps an eight-stage AI coding adoption model to the risk levels and developer skills each stage demands.
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InfoWorld, Tuesday, October 20th, 2026
Matt Asay argues AI success depends on pairing engineers with domain experts who know which data actually matters.
more → InfoQ, Tuesday, October 20th, 2026
Apple engineers explain how to move AI agents from local FastAPI prototypes to resilient production on Kubernetes using Ray.
more → SiliconANGLE, Tuesday, October 20th, 2026
Zeus Kerravala argues agent traffic makes the data tier, not the model, the main driver of AI cost and latency.
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Stack Overflow Blog, Monday, October 19th, 2026
A maturity model for taking AI agents from demo to production: determinism, evals, calibrated confidence, guardrails, audit and observability.
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KDnuggets, Monday, October 19th, 2026
A practical comparison of LangChain, LlamaIndex and plain-API builds for LLM apps, based on what a team is optimizing for.
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Forrester, Monday, October 19th, 2026
Forrester defines context engineering and argues agents are only as good as the context they get, making it a production dependency.
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BigDATAwire, Monday, October 19th, 2026
GPU workstations make electricity a real ownership cost, so CIOs need utilization data before buying more high-end hardware.
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O'Reilly, Monday, October 19th, 2026
A hands-on series builds a data-analysis agent on NFL play data, showing how scoping and visible filters affect answers.
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