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Remember this Quora comment (which also became a meme)?(Source: Quora)In the pre-large language model (LLM) Stack Overflow era, the challenge was discerning which code snippets to adopt and adapt effectively. Now, while generating code has become trivially easy, the more profound challenge lies in reliably identifying and integrating high-quality, enterprise-grade code into production environments.This article will examine the practical pitfalls and limitations observed when engineers use modern coding agen
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VentureBeat
Presented by NetSuiteMost companies racing from startup to an industry leader face a choice: limp along with scrappy early systems or endure a costly platform migration.DoorDash did neither. The local-commerce giant scaled from its 2013 founding through IPO and global expansion — acquiring the Helsiniki-based technology company Wolt in 2022 and UK-based Deliveroo in 2025 — while keeping its original Oracle NetSuite business system. Today, it serves over 50 million... Read more ›
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In the chaotic world of Large Language Model (LLM) optimization, engineers have spent the last few years developing increasingly esoteric rituals to get better answers. We’ve seen "Chain of Thought" (asking the model to think step-by-step and often, show those "reasoning traces" to the user), "Emotional Blackmail" (telling the model its career depends on the answer, or that it is being accused of sexual misconduct), and complex multi-shot prompting frameworks.But... Read more ›
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Anthropic's open source standard, the Model Context Protocol (MCP), released in late 2024, allows users to connect AI models and the agents atop them to external tools in a structured, reliable format. It is the engine behind Anthropic's hit AI agentic programming harness, Claude Code, allowing it to access numerous functions like web browsing and file creation immediately when asked.But there was one problem: Claude Code typically had to "read"... Read more ›
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The two big stories of AI in 2026 so far have been the incredible rise in usage and praise for Anthropic's Claude Code and a similar huge boost in user adoption for Google's Gemini 3 AI model family released late last year — the latter of which includes Nano Banana Pro (also known as Gemini 3 Pro Image), a powerful, fast, and flexible image generation model that renders complex, text-heavy... Read more ›
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In an impressive feat, Japanese startup Sakana AI’s coding agent ALE-Agent recently secured first place in the AtCoder Heuristic Contest (AHC058), a complex coding competition that involves complicated optimization problems — and a more difficult and perhaps telling challenge than benchmarks like HumanEval, which mostly test the ability to write isolated functions, and which many AI models and agents now regularly pass with ease ("benchmark saturation"). Sakana's accomplishment with ALE-Agent... Read more ›
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Our LLM API bill was growing 30% month-over-month. Traffic was increasing, but not that fast. When I analyzed our query logs, I found the real problem: Users ask the same questions in different ways."What's your return policy?," "How do I return something?", and "Can I get a refund?" were all hitting our LLM separately, generating nearly identical responses, each incurring full API costs.Exact-match caching, the obvious first solution, captured only... Read more ›
1
Rather than asking how AI agents can work for them, a key question in enterprise is now: Are agents playing well together? This makes orchestration across multi-agent systems and platforms a critical concern — and a key differentiator. “Agent-to-agent communications is emerging as a really big deal,” G2’s chief innovation officer Tim Sanders told VentureBeat. “Because if you don't orchestrate it, you get misunderstandings, like people speaking foreign languages to... Read more ›
1
As agentic AI moves from experiments to real production workloads, a quiet but serious infrastructure problem is coming into focus: memory. Not compute. Not models. Memory.Under the hood, today’s GPUs simply don’t have enough space to hold the Key-Value (KV) caches that modern, long-running AI agents depend on to maintain context. The result is a lot of invisible waste — GPUs redoing work they’ve already done, cloud costs climbing, and... Read more ›
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Anthropic released Cowork on Monday, a new AI agent capability that extends the power of its wildly successful Claude Code tool to non-technical users — and according to company insiders, the team built the entire feature in approximately a week and a half, largely using Claude Code itself.The launch marks a major inflection point in the race to deliver practical AI agents to mainstream users, positioning Anthropic to compete not... Read more ›
0
Nvidia's Vera Rubin NVL72, announced at CES 2026, encrypts every bus across 72 GPUs, 36 CPUs, and the entire NVLink fabric. It's the first rack-scale platform to deliver confidential computing across CPU, GPU, and NVLink domains.For security leaders, this fundamentally shifts the conversation. Rather than attempting to secure complex hybrid cloud configurations through contractual trust with cloud providers, they can verify them cryptographically. That’s a critical distinction that matters when... Read more ›
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Gizmodo
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Business Insider
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13% 4 |
Wired
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8% 6 |
Mashable
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7% 3 |
Engadget
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6% 3 |
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17.01.2026 01:39
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