MCP App StoreLe meilleur de l'écosystème IA et MCP, sélectionné chaque jour.
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A deep dive into the design philosophy behind Claude Code's tools. It discusses the concept of "progressive disclosure" and how to build agent tools that maximize effectiveness by aligning with how LLMs perceive data.
A guide on shoring up security defenses against AI-driven offensive tactics. It provides actionable recommendations for security teams to adapt their practices to a landscape where attackers use LLMs to accelerate offense.
Anthropic outlines five distinct patterns for coordinating multiple agents, detailing the trade-offs of each. This guide provides a framework for developers to decide when to evolve their agent architecture from simple loops to complex coordinated systems.
The 'Advisor Strategy' pairs a high-intelligence model like Claude Opus as an advisor with a faster model like Sonnet or Haiku as the executor. This architecture delivers high-reasoning capabilities at a fraction of the cost and latency of using Opus for every step.
Claude Cowork is now generally available for paid plans, enabling enterprise teams to collaborate with agents on tasks and project deliverables. The tool focuses on keeping teams synchronized and automating repetitive project management overhead.
Carta Healthcare developed 'Lighthouse,' a clinical abstraction platform using Claude and advanced context engineering. The system achieved 99% accuracy across 22,000 cases, demonstrating the viability of LLMs for high-precision medical data extraction.
Anthropic introduces Claude Managed Agents, a set of composable APIs designed for building and deploying cloud-hosted agents. This allows developers to scale agentic workflows without managing the underlying infrastructure.
A guide on leveraging subagents within Claude Code to parallelize research and obtain fresh reviews. It provides a framework for deciding when to delegate to a subagent versus staying in the main session.
Anthropic outlines three patterns for building applications that keep pace with Claude’s evolving capabilities: lean on what Claude already knows, continuously question which harness logic Claude can now handle itself, and set boundaries carefully. The post highlights how assumptions baked into agent harnesses go stale as models improve, and why giving Claude tools like bash and a code executor lets it orchestrate its own actions more efficiently. Essential reading for anyone building production agents.
Anthropic published a Compliance API that surfaces platform activity for auditing and governance. For engineering teams this simplifies incident analysis and compliance reporting by providing structured access to usage and action logs, reducing manual forensics. It matters for teams building agentic systems where auditability and traceability are required for safety and regulatory reasons.
Claude Code gained an Auto mode that lets it decide independently how much autonomy to take on a given task — running commands, editing files, and iterating without waiting for approval at each step. This makes Claude Code substantially more useful for longer-running agentic coding tasks where constant interruption slows things down. A meaningful step toward fully autonomous software engineering agents.
Anthropic launched computer use capabilities for Claude, allowing it to control a desktop environment — clicking, typing, navigating apps, and executing multi-step workflows autonomously. This brings Claude into the same category as OpenAI’s Operator and Google’s Project Mariner for browser and desktop automation. A major capability expansion for agent use cases.
Anthropic's product leadership outlines how teams should rethink roadmaps and developer workflows as model capabilities accelerate. The piece gives practical guidance for prioritising safety, incremental integration, and developer ergonomics when shipping model-driven features. Product and engineering teams building agentic tooling will find the framework useful for pacing releases and managing risk.
Anthropic made 1 million token context windows generally available for both Claude Opus 4.6 and Sonnet 4.6, removing the previous waitlist. This enables processing entire codebases, large document sets, or extended multi-turn agent conversations in a single context window. A significant capability unlock for developers building with large-context retrieval and long-running agents.
Claude gained the ability to generate interactive charts, diagrams, and data visualizations directly in conversations. Users can now ask Claude to render bar charts, flowcharts, network diagrams, and more as live, explorable artifacts rather than static images. This expands Claude’s utility significantly for data analysis and presentation workflows.
Anthropic expanded Claude’s ability to work directly with Excel spreadsheets and PowerPoint presentations — reading, editing, generating, and reasoning over Office file formats natively. This targets enterprise users who live in Microsoft Office and want AI assistance without copy-pasting content into a chat window. Part of a broader push into document-native AI workflows.
Claude Code can now perform structured code reviews — analysing diffs, surfacing issues, suggesting improvements, and explaining reasoning in the style of a senior engineer. The feature integrates into existing Git workflows so teams can request a Claude review on any branch or PR without leaving the terminal. A high-value addition for solo developers and teams shipping fast.
Anthropic breaks down three foundational agent workflow patterns — sequential, parallel, and orchestrator-subagent — with clear guidance on when each is the right choice. The post is practical and opinionated, covering tradeoffs around latency, cost, error propagation, and task complexity. One of the best concise references for anyone designing agent pipelines.
Anthropic shipped improvements to the skill-creator tool that let skill authors verify their skills work, catch regressions, and improve trigger descriptions — without writing code. The update adds a testing layer to the Agent Skills ecosystem, making it easier to ship reliable, well-scoped skills. Directly relevant to anyone building or maintaining SKILL.md packages.
Anthropic describes integrations between Cowork and finance plugins that streamline secure data access workflows for financial applications. For developers, the post highlights plugin patterns and permission models that make it easier to connect private datasets to agent workflows while retaining controls. This is relevant to teams building regulated-agent integrations where secure plugin architectures are required.