1323 summarised stories about Developer Tools, each linking back to the original source. Browse all topics →
Product Hunt 2 months ago 19
RankControl launched today as an AI-focused SEO tool that creates content and publishes it on a user’s own domain while tracking AI visibility across multiple chat and search platforms. It offers a single 7-day free trial. This adds an end-to-end workflow for content production, distribution, competitor gap tracking, and AI-specific crawl/analytics reporting in one plan.
Simon Willison's Weblog 2 months ago 11 ● 7 sources
Anthropic released MCP 2.0, a stateless version of the Model Context Protocol that simplifies how tools are exposed to AI agents by replacing two-request session-based communication with single HTTP requests. The new specification reduces implementation complexity significantly, enabling smaller models to work with MCP tools while improving security compared to giving agents shell access. The author built three new tools demonstrating the benefits: mcp-explorer for CLI probing, datasette-mcp for SQL query access, and llm-mcp-client for LLM integration.
Simon Willison's Weblog 2 months ago 34 ● 7 sources
Simon Willison released llm-mcp-client version 0.1a0, an early alpha implementation of the model-context-protocol for the llm command-line tool. The release is version 0.1a0, indicating pre-release status. This enables developers using the llm CLI to connect to context protocol servers, expanding the tool's capability to work with external data sources and services.
Simon Willison's Weblog 2 months ago 52
A researcher released smevals, a framework for evaluating AI models and prompts across different configurations by running tests and grading results. The tool uses YAML-based eval suites that can be tested against multiple models like GPT and Claude, with results viewable through a web interface or static HTML reports. This enables teams to systematically benchmark model capabilities and compare performance across different versions and configurations.
Product Hunt 2 months ago 18
Aegisora is a new platform for controlling which tools and APIs AI agents can access, restricting their capabilities to specific functions. The system provides a narrow control plane that limits agent permissions to predefined tools and external service calls. This allows developers to deploy agents with bounded authority, reducing the risk of unintended actions or unauthorized API access.
Simon Willison's Weblog 2 months ago 27 ● 2 sources
Datasette-agent released version 0.4a0 with a new await context.browser_task() mechanism that lets agent tools run code directly in the user's browser. The feature is part of issue #33 and enables plugins to execute custom JavaScript. This allows Datasette Agent to provide more interactive browser-based capabilities to users.
Product Hunt 2 months ago 56
A service converts websites into Markdown format for use with large language models. The tool processes web pages into structured text optimized for LLM consumption. Users can now feed website content directly to AI systems without manual conversion.
GitHub 2 months ago 57
Agent Manager is a tmux-based terminal UI that runs multiple AI coding agents (Claude Code, Codex, OpenCode, Grok, Gemini CLI) simultaneously in separate sessions, displaying their status in a unified project tree where users can send prompts and review file changes without switching between tabs. The tool supports live status detection for supported agents, keeps sessions persistent after the manager closes, and includes features like syntax-highlighted diff review with inline comments that feed back to agents as review prompts. Users can now manage multiple coding agents in a single interface with keyboard shortcuts for spawning, killing, reviving sessions, and reviewing code changes instead of manually tracking each agent's progress across separate terminal windows.
stripe.dev 2 months ago 48
Stripe launched Knowledge AI Platform, a system that helps developers build AI agents by providing access to structured company data and context. The platform enables agents to retrieve and reason over Stripe's product documentation, APIs, and business information through a unified interface. This allows developers to create more capable AI assistants that can answer questions and perform tasks with accurate, up-to-date company knowledge without requiring manual integration work.
MarkTechPost 2 months ago 57
JetBrains Research released KotlinLLM, an IntelliJ IDEA plugin that generates Kotlin code at runtime through LLM-powered "Smart macros" and hot-reloads it via Java Debug Interface. Testing on a Spring Petclinic project showed 24 of 24 application scenarios completed with 100% hot-reload success and roughly 1% runtime overhead. Developers can now commit generated Kotlin source code without runtime LLM dependencies, enabling faster iteration on type conversions and mock implementations while avoiding repeated inference costs for covered scenarios.
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19 October 2026
The biggest thread today isn’t about model capability—it’s about who gets held responsible when AI agents act. Atlassian CEO Mike Cannon-Brookes used his company’s new “Agentic Multiplayer Protocol” to make a blunt point: “the AI did it” can’t be an escape hatch. The idea is to keep accountability with the end user by making agent edits visible in document history, like work from a colleague whose changes you can trace. It’s a practical shift away from the consumer fantasy that an agent can operate in the dark; instead, Atlassian is building a control plane where provenance and auditability are first-class features.
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