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Only First-party#Agent
May 27Wednesday
  1. MiniMax Blog72

    MiniMax upgrades Agent as Mavis and launches Agent Teams for long-running tasks

    MiniMax upgraded MiniMax Agent under the new name Mavis and launched Agent Teams, which let multiple role-specific Agents run in parallel on the desktop for long, complex tasks. The system uses Leader, Worker and Verifier roles with a state-machine Team Engine that cycles tasks through producing, verifying and done, and it merges TokenPlan and Agent Plan into one subscription spanning CLI, API and Agent across M2.7, music, video and voice. MiniMax says the Agent will be open-sourced soon, expected alongside the MiniMax M3 model, while the desktop app is already available.

    Why it matters: MiniMax explains the design tradeoffs behind its Leader-Worker-Verifier Agent Team, including handoff, sharing and aggregation costs, offering a concrete reference for building multi-Agent runtimes.

  2. Modal Blog38

    Modal opens Role-Based Access Control to all Team and Enterprise users

    Modal is making Role-Based Access Control (RBAC) available to all users on Team and Enterprise plans, built around Environments as enforceable security boundaries. Restricted Environments make workspace members read-only by default, with only explicitly granted users or agents able to deploy and manage resources, and RBAC ties into Audit Logs for a full record of who did what and when.

May 21Thursday
  1. Vapi Blog20

    Vapi: Bringing Voice AI to ACCESS Chronic Care Panels

    Vapi argues that voice AI can now make voice the economically viable channel for ACCESS chronic disease management, citing Hiya data that 42% of consumers prefer voice for healthcare communication, up from 33% the prior year. The post details three production workflows, including Spring Venture Group's Medicare lead qualification agent, built by four engineers in one week, which lifted transfer-to-close rate by 3% and delivered over $5.8M in combined savings and new revenue.

May 19Tuesday
  1. Modal Blog55

    Modal launches first-class Sandboxes integration with Claude Managed Agents

    Modal announced a first-class integration between Modal Sandboxes and Anthropic's Claude Managed Agents, letting all tool calls run in a self-hosted Modal Sandbox while Anthropic's managed agent loop handles session state. Modal cites fast cold starts on custom images, snapshot and volume persistence, burst pricing with no idle costs, short-lived connect tokens, and upwards of 100,000 concurrent sandboxes per customer. The company also published two reference examples, a CLI agent and a Slack bot, on the same Modal plus Managed Agents backbone.

May 12Tuesday
  1. Vapi Blog50

    Vapi Raises $50M Series B as Its Voice Agents Pass 1 Billion Calls

    Vapi announced a $50M Series B led by Peak XV, with YC, M12, Kleiner Perkins and earlier investors participating, bringing total funding to $72M. The round follows a year in which Vapi's enterprise revenue grew 10x and its voice agents crossed 1,000,000,000 calls handled. Vapi says Amazon Ring moved from evaluation to running 100% of inbound calls on its platform in two weeks, with CSAT rising.

May 5Tuesday
May 1Friday
  1. Vapi Blog34

    Open Stack vs Integrated Solution: Key Considerations for Voice AI Builders

    Vapi Blog interviews Cartesia's Iz Shalom on choosing between integrated and open modular voice AI stacks. Integrated stacks suit narrow use cases and fast proofs of concept, while open stacks fit multiple use cases, multilingual support, and swapping components. The piece urges teams to measure P99 latency in their own environment and build tight evaluations before production.

April 30Thursday
  1. OpenAI Developers Blog47

    OpenAI Developers plugin for ChatGPT and Codex

    OpenAI released a Developers plugin that gives ChatGPT and Codex access to the OpenAI API Platform and API setup guidance, with adaptations for Claude Code and Cursor bundling portable developer skills and the public OpenAI Docs MCP server. It covers API key setup, Agents SDK app building, API migration to the Responses API, and troubleshooting common API failures.

April 29Wednesday
  1. Factory58

    Factory benchmarks 13 models on code review, finds GPT-5.2 best and MiniMax M2.7 cheapest

    Factory built an open-source benchmark testing 13 models on 50 real pull requests from Sentry, Grafana, Keycloak, Discourse and Cal.com, with each model reviewing every PR at least three times at high reasoning effort and an LLM judge scoring findings against a human-curated golden set. GPT-5.2 led at 60.5% F1 for $1.25 per PR, ahead of Claude Opus 4.6 at 59.8% F1 and $3.11 per PR, while MiniMax M2.7 reached 45.6% F1 at $0.15 per PR and Kimi K2.5 hit 51.9% F1 at $0.41. Factory says cost explains only about 21% of quality variance, and it open-sourced the golden set, evaluation scripts and a Droid Action GitHub Action supporting all 13 models.

April 23Thursday
  1. Factory55

    Factory launches Automated QA skill that tests apps like a real user and reports in PRs

    Factory released an Automated QA skill that drives apps the way a real user would, filling forms, typing into terminals and calling endpoints, then posts a structured report with screenshots, terminal snapshots and API traces as a single comment on each pull request. The skill runs on every push via Droid, can be configured as an optional CI check triggered by a PR label, comment command or manual dispatch, and is also available locally through /qa in any Droid session. Setup uses /install-qa, and the feature is available today in all Factory plans.

April 17Friday
  1. OpenAI Developers Blog60

    OpenAI publishes API deployment checklist for GPT-6 workloads

    OpenAI published an API deployment checklist that walks developers through moving workloads onto the Responses API and the GPT-6 model family, including gpt-6-astra, gpt-6.1-sol, gpt-6 Sol and gpt-6 Luna. The guide covers reasoning.effort levels from low to max, text.verbosity, tool_search with deferred tool loading, Programmatic Tool Calling, Multi-agent, compaction, prompt caching and WebSocket mode, which OpenAI says has shown up to roughly 40% faster end-to-end execution for workflows with 20 or more tool calls. It also details reliability and safety steps such as handling 429 and 503 errors, background=True for long jobs, safety_identifier and misalignment monitoring.

    Why it matters: OpenAI's official deployment checklist consolidates model selection, reasoning effort, tool search, compaction and WebSocket mode into one migration guide for GPT-6 workloads.

April 16Thursday
  1. OpenAI Developers Blog60

    OpenAI Codex app update extends to tools, apps and automations

    OpenAI published an overview of new Codex app updates aimed at working across tools, apps, automations and other developer workflows. The material is a short summary only, so specific features, versions and availability details are not described.

    Why it matters: OpenAI outlines Codex app updates that extend the coding agent across tools, apps and automations, showing how its scope is widening beyond code generation.

April 15Wednesday
  1. Vapi Blog50

    Vapi Launches Vapi Monitoring for Production Voice Agents

    Vapi released Vapi Monitoring, a monitoring product that lets teams create customizable monitors for voice agents and get alerted when thresholds are hit. It covers effectiveness and compliance monitoring for Enterprise subscriptions, plus technical and infrastructure monitoring, and surfaces issues with affected call counts and recommended fixes.

  2. Modal Blog58

    Modal and OpenAI Agents SDK: building a parallel coding agent harness with sandboxes and GPUs

    Modal published a walkthrough on building a custom coding agent harness on top of the OpenAI Agents SDK, which OpenAI launched today, using Modal Sandboxes to give agents isolated Linux environments and GPUs. The guide starts from a minimal exec-based agent, then adds sessions for memory, an orchestrator plus subagent pool for parallel async work, GPU quotas, filesystem snapshots to deduplicate setup, and a skills subsystem, ending with a harness that runs OpenAI's Parameter Golf challenge across parallel GPU subagents. Modal cites Ramp's fleet of background coding agents on Modal, which it says now produces more than half of the company's PRs.

April 14Tuesday
  1. Vapi Blog18

    Vapi Product VP: Fundamentals Matter More Than Ever for Differentiated AI Products

    Vapi VP of Product Management Nathalie Criou told a HumanX panel with Salesforce, Databricks and TinyFish that AI amplifies rather than replaces fundamentals like domain expertise and judgment. She said Vapi's platform, built on millions of real-world voice interactions, develops institutional memory that a single training run cannot replicate. The panel argued shallow moats such as being first to market are eroding while trust, switching costs and unique interaction data compound faster.

  2. Modal Blog40

    Modal Autoscaling Autoresearch: Elastic GPUs for AI Research Agents

    Modal demonstrates running autoresearch agents on elastic GPUs: given Modal Skills, Claude Code ran 113 experiments over 238 GPU-hours on OpenAI's Parameter Golf challenge, finishing core training runs 5x faster than a single workstation while using a fraction of a dedicated cluster's resources. Agents provision GPUs via API calls, scaling from one to dozens of H100s and back to zero automatically.

April 10Friday
  1. Modal Blog38

    Butter Acquired by Modal, Founder Erik Dunteman Joins Sandbox Team

    Modal has acquired Butter, with founder Erik Dunteman and researcher Raymond Tana joining Modal's Sandbox team. The Butter team brings agent harness engineering experience, including bVisor, a virtual Linux kernel written from scratch in Zig for lightweight, ephemeral sandboxes. Modal says the hire advances its goal of making Modal Sandboxes a best-in-class product experience.

April 7Tuesday
  1. Modal Blog22

    Modal Product Updates: RTX Pro 6000 Blackwell, Command K, Sandbox FS API

    Modal now offers NVIDIA's RTX Pro 6000 Blackwell with 96GB of VRAM and strong fp4/fp8 throughput, available via a single line of code for inference and fine-tuning workloads. The update also adds a dashboard Command Palette (CMD+K), a revamped Sandbox Filesystem API in beta supporting reads up to 5GB and streaming in both directions, and CLI log commands with historical fetching.

March 26Thursday
  1. Modal Blog38

    Runway partners with Modal to power real-time inference for Runway Characters

    Runway is partnering with Modal to power real-time inference for Runway Characters, a real-time video agent API built on Runway's GWM-1 world model that generates expressive digital personas from a single image with zero fine-tuning. Modal's serverless platform let Runway move from proof of concept to production in under 30 days, using single-line multi-node GPU clusters with RDMA networking across every region. Characters is available now to developers and businesses at dev.runwayml.com and to consumers at runwayml.com.

March 20Friday
  1. Vapi Blog38

    Vapi Webinar Answers Top Questions on Composer Voice Agent Builder

    Vapi hosted a webinar in which Principal Product Manager Nick Robin demoed Composer, its in-product assistant for building voice agents without code, producing a working inbound customer service agent within a 30-minute demo. Composer writes system prompts, provisions phone numbers, sets scheduling and flags its own errors for approval. It is currently in alpha and supports both inbound and outbound assistants, CRM and calendar integrations, and editing of existing agents by assistant ID.

March 4Wednesday
  1. Modal Blog22

    Modal Product Updates: Directory Snapshots, GLM-5 Endpoint and Billing API

    Modal added Directory Snapshots for Sandboxes, letting users snapshot a single directory and mount it into a new Sandbox independently of the base image. Modal also released a free public GLM-5 endpoint with Z.ai through the end of April, compatible with OpenCode, Claude Code, OpenClaw and the Vercel AI SDK. The modal billing report CLI and modal.billing.workspace_billing_report API are now generally available for Team and Enterprise workspaces.

February 25Wednesday
  1. Vapi Blog35

    Vapi Ships Skills and MCP Connector So Coding Agents Can Build Voice Agents

    Vapi released Vapi Skills, a repo following the Agent Skills standard, plus a Model Context Protocol connector that gives coding agents live access to Vapi's documentation. One install command loads step-by-step instructions with exact API schemas for workflows like create-assistant, create-tool, create-call, and setup-webhook, and the skill pack runs on Claude Code, Cursor, VS Code Copilot, and Gemini CLI.

  2. OpenAI Developers Blog62

    OpenAI publishes Codex prompting guide for gpt-5.3-codex

    OpenAI released a Codex prompting guide for developers calling the Codex-tuned gpt-5.3-codex model directly through the API, recommending medium reasoning effort for interactive coding and high or xhigh for the hardest tasks. The guide covers migrating an existing harness to the open-source codex-cli, including the standard Codex-Max prompt, the apply_patch, shell_command and update_plan tools, and first-class compaction via /compact in the Responses API for multi-hour sessions. It also describes the new phase field, supported only on gpt-5.3-codex, which marks assistant items as commentary or final_answer and must be preserved in history to avoid performance degradation.

    Why it matters: OpenAI's official guide details how to tune prompts, tools and compaction for gpt-5.3-codex, giving teams a concrete migration path for their own coding agents.

February 24Tuesday
  1. Vapi Blog38

    Give Your OpenClaw Agent a Voice: Adding Phone Calls with Vapi Skills

    OpenClaw agents can now make and receive phone calls through Vapi's AgentSkills-compatible skills, installed in about five minutes via the npx skills CLI or by asking the agent directly. The Vapi pipeline targets sub-500ms voice responses and supports mid-call tool calling, with eight skills covering assistants, calls, phone numbers, tools, squads, webhooks and workflows.

  2. Modal Blog55

    Modal launches Directory Snapshots in public beta for Sandbox project state

    Modal launched Directory Snapshots in public beta, letting users snapshot a specific directory inside a running Sandbox and mount it into another Sandbox independently of the base image and the rest of the filesystem. The feature targets coding agents and vibe coding platforms that need to preserve project state across sandbox restarts, and Modal says it enables separating system dependencies from application code, pre-warming sandbox pools, and faster pre-loading of key files. Directory Snapshots persist for 30 days after last use and mount instantly, with contents prioritized for pre-loading on Modal's lazy-loading container filesystem.

February 19Thursday
  1. Modal Blog58

    How Ramp built Ramp Inspect, a full-context background coding agent on Modal

    Ramp built Ramp Inspect, an internal background coding agent running on Modal Sandboxes, and it now starts roughly half of all merged pull requests across Ramp's frontend and backend repos. Each session boots a full-stack environment with Postgres, Redis, Temporal and RabbitMQ in seconds, because a Modal cron job clones repos and saves filesystem snapshots every 30 minutes. Modal Functions, Dicts and Queues handle snapshot builds, session locks and prompt routing, letting Inspect support multiplayer sessions and hundreds of concurrent sessions without one affecting another.

February 11Wednesday
  1. Vapi Blog55

    Vapi launches Composer, an in-dashboard AI assistant that builds voice agents

    Vapi shipped Composer, an AI assistant inside the Vapi Dashboard that builds voice agents from a description, writing the prompt, configuring settings, provisioning phone numbers, building tools and setting up integrations. Composer can also pull call logs to explain a failed call and apply a fix, and generate custom code tools that run on Vapi's infrastructure for integrations such as HubSpot. It is available now in Alpha with no setup or onboarding flow.

  2. Modal Blog78

    Modal 上线 GLM-5 免费端点并发布自部署与前端接入指南

    Modal 推出 GLM-5 的免费 OpenAI API 兼容端点，可用至 4 月底，限单个并发请求，同时发布在单节点 8 张 B200 上用 SGLang 部署的可复现代码。

    Why it matters: Modal 为 Z.ai 的 GLM-5 提供免费 OpenAI 兼容端点，并给出在 OpenCode、OpenClaw、Claude Code 和 Vercel AI SDK 中接入的具体配置。

February 2Monday
  1. OpenAI Developers Blog62

    OpenAI introduces the Codex app

    OpenAI introduced the Codex app, a dedicated app for its Codex coding agent, in an official developers blog post. The post is an intro walkthrough covering the app and its core workflows, with the full video hosted on YouTube.

    Why it matters: OpenAI's official walkthrough shows how the Codex app structures core coding workflows, useful for developers weighing it against existing coding agents.

January 28Wednesday
  1. Modal Blog22

    Modal Product Updates: AWS & GCP Marketplace Availability, Sandbox Observability, and Client Updates

    Modal is now purchasable through AWS and Google Cloud Marketplaces, letting enterprise customers apply existing cloud spend commitments to Modal usage. The platform also shipped Sandbox UI updates with clearer resource and region details plus a new execution timeline, and client 1.3.1 adds Python 3.14 support including experimental free-threaded Python (3.14t) in Modal containers.

January 20Tuesday
  1. Factory58

    Factory launches Agent Readiness to score how well codebases support AI coding agents

    Factory launched Agent Readiness, which evaluates how well a codebase supports autonomous development across eight technical pillars and five maturity levels, runnable via /readiness-report in Droid, an organization dashboard, or an API. Each criterion is binary and a level unlocks only when 80% of its criteria and all prior levels pass; grounding each evaluation on the repository's previous report cut score variance from an average of 7% to 0.6% across 9 benchmark repositories over six weeks. Reports can trigger an agent that opens a pull request to fix failing criteria such as missing AGENTS.md, linter configuration, or pre-commit hooks.

December 23, 2025Tuesday
  1. Replit Blog70

    Replit launches in-ChatGPT app building via @replit and Replit Agent

    Replit is now available inside ChatGPT, letting users tag @replit in any message to have Replit Agent create, update and deploy Replit Apps directly in the conversation. Build progress and an interactive preview appear in-chat, and each request such as adding dark mode or a payment form updates the app instantly, with apps stored in the user's Replit account for later publishing. The integration requires a ChatGPT account (Free, Plus, Pro or Teams) and a Replit account, works where the ChatGPT App Store is available, and consumes Replit Agent credits.

    Why it matters: Replit's ChatGPT integration lets users describe an app in chat and have Replit Agent build, preview and deploy it without leaving the conversation.

November 20, 2025Thursday
  1. Modal Blog22

    Modal on why coding agents need good developer experience too

    Modal argues that the same developer-experience principles that help humans—tight feedback loops, programmatic access via CLI/SDK/API, actionable error messages, and consistent code-adjacent examples—also make coding agents faster. Because agents iterate by generating, running, and observing code, vague errors or UI-only config stall them, so designing for agents means applying the same principles rather than reinventing them.

  2. Vapi Blog42

    Vapi adds structured outputs to extract schema-validated data from voice AI calls

    Vapi now supports structured outputs for all voice AI assistants, ensuring every call returns data that matches a developer-defined JSON schema. Schemas are enforced at runtime using provider-native capabilities from OpenAI, Anthropic, Gemini and others, and can be reused across multiple assistants. Extracted data arrives in call completion webhooks and the REST API.

  3. Replit Blog42

    Replit launches Fast Mode for quicker, cheaper Agent edits

    Replit launched Fast Mode, a faster way to direct its Agent to make small, precise changes. It runs on an efficient agentic model that is significantly more affordable than Build mode and optimized to finish requests in the fewest steps, aimed at quick fixes, visual iterations and small features. Fast Mode is available to all Replit users starting today and is activated via the lightning bolt icon.

September 22, 2025Monday
  1. Modal Blog38

    Modal Vibe: An AI Coding Platform Built on Modal Sandboxes That Scales to 1,000 Apps in 5 Minutes

    Modal built Modal Vibe, an open-source demo vibe coding platform on Modal Sandboxes that scales from 0 to 1,000 AI-coded apps in about five minutes. A load test creating 1,000 apps, each in its own Sandbox, took roughly 300 seconds, with the AI API as the rate-limiting step. Modal says the Team Plan can run 1,000 concurrent Sandboxes, enough for over one million sessions per month.

September 19, 2025Friday
  1. Modal Blog20

    Modal Product Updates: Notebooks, Sandbox Idle Timeouts, and Client Changes

    Modal shipped product updates including Modal Notebooks for cloud-based Python experimentation with up to 8 B200 GPUs, plus an optional idle_timeout parameter for modal.Sandbox.create(). The client also added a startup_timeout parameter to @app.function() and @app.cls() decorators and a new API pattern for imperative management of Modal resource types. Modal Notebooks have since been shut down, though existing notebooks can still be downloaded as .ipynb files.

September 9, 2025Tuesday
  1. Modal Blog58

    Modal launches Notebooks with GPU kernels that start in under 5 seconds

    Modal Notebooks is now generally available to all Modal customers after a limited beta last month. The collaborative notebook environment runs on a GPU-enabled Python kernel that reaches a ready state in under 5 seconds on arbitrary container images and hardware up to 256 vCPUs and 8 H100/B200 GPUs, with auto-idle shutdown, shared Volumes and Secrets, and real-time multi-cursor editing. Modal says over 5,000 accounts ran 200,000 code cells during the August beta, and upcoming features include memory snapshots, one-click export to Modal Apps, and scheduled runs.

July 24, 2025Thursday
  1. Modal Blog36

    What is an AI code sandbox?

    An AI code sandbox is an isolated environment that executes LLM-generated code at runtime, containing the blast radius of errors or injected vulnerabilities. Modern implementations run on VMs or containers, often using secure runtimes like gVisor to intercept syscalls and shield the host. Most companies choose managed sandbox services over building their own with Kubernetes, since cold starts and scaling to millions of concurrent sessions are costly to handle.