搜索“Agent”

pane, run a process, register a slash command, or register a tool the model can call. Claude Code uses them itself. Some of Claude Code's own features are built as mods, including AGENTS.md support and the /diff pane beside the conversation. Their source, with tests, is in the public anthropics/claude-code repository under mods/, so you can read how the team builds them. Token Weather reads how full the context window is after each turn and draws one line above the prompt: a weather icon, the pe

匹配字段正文

After watching the sometimes messy demos on stage and hearing CEO Sam Altman talk about his experiences using the agents, I was curious what it felt like to boss my own Dot around. I’ve spent most of September testing another cute, cuddly agent, Meta’s Muse , and I wanted to know how OpenAI’s user experience would compare. I named mine “Toolie” and tweaked it to look like a pink frog. As midnight approached and my partner slept soundly nearby, I started whispering sweet nothings to Toolie. I cal

匹配字段正文

The next wave of personal computing isn't about better apps; it's about agents that live on your behalf: managing your calendar, triaging your inbox, tracking your finances, keeping your notes in order. For agents to work in production, three things have to be true at once: the model has to be accurate, it has to be fast, and it has to be cheap enough to run continuously. Most models optimize for one or two of these. Mercury 2 optimizes for all three. We evaluated Mercury 2 on PinchBench, the op

匹配字段正文

使用のクレジットを消費する。 エフォートの変更でキャッシュが維持される場合 Claude Codeでは、会話の途中でも/effortで設定を変更できる。Addy氏の説明によると、APIキーまたはClaudeのサブスクリプションを使ってOpus 5.5を動かす場合は、変更後もキャッシュが維持される。一方、Amazon Bedrock、Google CloudのAgent Platform、Claude apps gateway経由では、変更で会話のキャッシュが無効になり、次のリクエストで会話全体をキャッシュに書き直す料金がかかる。 会話を圧縮するタイミングと注意点 キャッシュが使えても、会話が長くなるほど毎回読み出す量は増える。Claude Codeは会話がコンテキストの上限に近づくと古い履歴を要約するほか、利用者が/compactで圧縮することもできる。関係のない別の作業に移る場合は、/clearで会話を空にできる。 /compactは後の入力を減らせる一方、要約の生成と、短くなった会話のキャッシュへの書き込みに費用がかかる。作業終了の直前に圧縮すると、その後に減らせる入力費用より、圧

匹配字段正文

ext, so they go about 25% further than on Opus 5. The extra cut on cache reads is an API price change. On an API key, the cache-read price cut matters most for Claude Code. A long agentic session spends most of its input on cache reads. In the session priced in Fig B below, the cache line falls from $1.00 to $0.40, the largest drop on the receipt. You may have seen that Opus 5.5 costs 40% less to run than Opus 5. That's our estimate for typical workloads billed by token, at default settings. It

匹配字段正文

s article provides analysis of key trends: Financing, Blackwell and Grace-Blackwell deployments, the Move To Vera Rubin, Scale Out Networks, Reliability, Security (of course), and Agentic Coding. We provide an Appendix with individual comments about every provider that once again stretches this article to over 30,000 words. We hope you enjoy. In light of the SemiAnalysis imperative to publish the most rigorous possible testing of… everything… we are hiring MTS for ClusterMAX and adjacent project

匹配字段正文

Software is eating the world, and agents are eating software engineering. It is imperative that software engineers develop an understanding not just of the agent software that is now their most important tool but also of how the intelligent core of agent software works, through inference by large generative models of language — if not out of the engineer’s need to understand and control their tools, then at least because inference is poised to consume more computing power and produce more benefi

匹配字段正文

nt the opposite: a one-line plan before it starts and a short recap at the end. Say that in your CLAUDE.md instead. Opus 5.5 follows either one. Ask it to split big work across subagents What to do. For an audit, a migration, or a review across a large codebase, ask Opus 5.5 to split the work across subagents and check each result. Why it matters on Opus 5.5. Early testers had Opus 5.5 coordinate parallel subagents on long audits and migrations, with little oversight. How. Keep the task list in

匹配字段正文

T-6 Astra, and 28x below Claude Opus 5. The new DeepSeek-V4.1-Flash model fundamentally changes the unit economics of autonomous software engineering tasks. Running high-iteration agent workflows, multi-turn bug sweeps, or large-scale test generation on expensive closed models like GPT-6 Astra and Opus 5 rapidly drains engineering budgets. At $0.43 per task, frontier-grade SWE agents become viable as continuous, background infrastructure. With DeepSeek V4.1 Flash, you can now run 15 autonomous c

匹配字段正文

l some finer details to resolve. For process orchestration, you need an execution model that fits your use cases and business needs. The choice between deterministic, dynamic, and agentic process orchestration is more than just visuals. Each model has different tradeoffs between predictability, adaptability, and autonomy. Here’s how to decide which one is the best fit for your business. What is process orchestration? Process orchestration is an architectural control plane that coordinates the pe

匹配字段正文

The reflection pattern is one of four key agentic AI design patterns (alongside tool use, planning, and multi-agent collaboration) that enable AI systems to handle complex tasks. It allows an AI agent to generate an output, critique it, and amend it. This feedback loop makes it easier for the agent to catch errors and improve output quality. How the reflection pattern works Let’s say a team has built a business process automation solution, such as a customer support agent chat, that uses a refle

匹配字段正文

ontext Protocol The Model Context Protocol (MCP) is an open standard that allows large language models (LLMs) to connect to data sources and other external systems. It provides AI agents a consistent pathway to access third-party information, whether that includes pulling from real-time data sources or taking actions on external tools. In this article, we’ll explore what the Model Context Protocol is in context, outlining its history and why it’s become central to the wider adoption and success

匹配字段正文

Facebook; Twitter; LinkedIn; Mail Imagine going to sleep after writing a single Markdown specification and waking up to find that an AI agent ran dozens of LLM fine-tuning experiments overnight on your behalf - discovering optimal LoRA ranks, refining learning rate schedules, tuning batch sizes and committing each verified improvement to Git. This is no longer a fantasy. Earlier this year, the autoresearch project showcased how autonomous LLM agents can iteratively explore pre-training in a self

匹配字段正文

APIs have been the standard software communication method for decades. Developed by Anthropic in 2024, the Model Context Protocol (MCP) is an open standard that lets an AI agent discover and use tools. Deciding whether to use MCP versus an API depends on the purpose of your system, but you can often use both. What are APIs and the MCP? APIs and MCPs are connection standards that solve different problems. An API lets software programs share data through fixed rules. The MCP helps AI models use to

匹配字段正文

reat evals - part 10 Measure the steps, not just the result. Much like high school math, it isn’t sufficient just to get the right answer, the steps to get there are critical. Two agent trajectories might produce the same answer (42!!). but one of them searches the right sources, retrieves the right document, makes 4 clean tool calls and calculates the result. The other makes 17 calls, searches the same thing 3 times, recovers from 2 errors and eventually gets there. It’s clear which one is bett

匹配字段正文

++. Mistral successfully migrated 40,000 lines of a physics-intensive reservoir simulator by building a parity harness for numerical verification, documenting the codebase with AI agents, and using structured workflows with human oversight to ensure high-quality, maintainable code. Key lessons include prioritizing numerical agreement, organizing documentation before migration, and balancing agent autonomy with human review. Legacy scientific codebases accumulate over decades, and when original a

匹配字段正文

article by OpenAI describing two further changes to the harness that also tripled GPT 5.6 Sol’s performance from to 13.3% to 38.3%.) Coming back to the Artificial Analysis Coding Agent Index v1.4 (lower right in the previous figure), which blends several agentic coding tasks, GPT-6 Astra is clearly at the frontier, but it doesn’t pull ahead by leaps and bounds. This can also be seen in the general Artificial Analysis Intelligence Index shown below, which blends different types of tasks, not jus

匹配字段正文

Facebook; Twitter; LinkedIn; Mail When developers first work on harness engineering for agentic coding systems, they often fall into the same trap: they run common end-to-end benchmarks like Terminal-Bench and DeepSWE, watch a composite score move by a few percentage points, and have no idea why it changed. End-to-end benchmarks are the de facto for evaluating model performance and determining what needs deeper investigation, but the challenge is that those investigations come at a high cost. Be

匹配字段正文

rship, control and economics. This post is a deep dive into the open model AI stack that developers need to consider as they move from closed to open source. Using open models for agentic software development does not require learning how to train models, buying a rack full of GPUs, or becoming an expert in machine learning. From the perspective of an application developer, the stack is surprisingly familiar to using closed-source models. You have a model that answers prompts and a harness that

匹配字段正文

e testing Anthropic took more than two months to alert cops; AI systems are fully capable of carrying out nightmare attacks against infrastructure and nobody's ready Meanwhile, AI agents move robotic arms, 'make OT device operator screens lie'; Nvidia found $1B under the couch to help secure American scientific computing dominance Commitment comes as GPUzilla prepares to fortify Uncle Sam's arsenal with at least seven AI-optimized supers; TSMC taps GlobalFoundries to bolster US silicon interpose

匹配字段正文