#16: Codex, SWE-1, ManusAI: The AI Dev Stack Is Here

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In today’s Agent Pulse:

  • The top AI Agent news you shouldn’t miss

  • Top AI agents Leaderboard

  • Featured AI Agents

  • Free courses to level up your AI agent game

  • Agents Protocols.

  • ICM vs VC

📢 Top Stories This Week

OpenAI Codex Agent Is Live

OpenAI announced a cloud-based coding agent that can read your codebase, write new features, fix bugs, run tests, and even open pull requests—all autonomously.

  • Powered by codex-1 (an o3 variant)

  • Integrates with GitHub, matches your code style

  • Available to ChatGPT Pro, Team & Enterprise users

  • Think “AI dev partner,” not just autocomplete

👉 Great for teams that want to speed up delivery without burning out engineers.

Windsurf’s SWE-1: An AI Dev Team in a Box

Windsurf dropped three new models (SWE-1, lite, mini) built specifically for software engineering.

  • SWE-1: Full-size model for reasoning, planning, debugging

  • Lite & Mini: Lightweight versions for fast/local tasks

  • Works across IDE, terminal, browser with a “shared timeline”

  • Runs locally—no GPU farms needed

👉 A big leap toward dev agents that can work start-to-finish, not just suggest code.

ManusAI Adds Image Generation

ManusAI now builds full visual workflows—logos, ads, mockups—based on your goals, not just prompts.

  • Designed for creators, marketers, entrepreneurs

  • Handles full projects (e.g. branding kits, ad campaigns)

  • 300 free credits/day + bonus on signup

  • Output time: ~7 min per request

👉 Think Canva meets ChatGPT, with one-click creative execution.

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🚀 Agents Leaderboard

🥇 TheLibrarian.io: WhatsApp AI Personal Assistant workflows
🥇DigitalEmployees.io: Digital workers for TechOps and QA
🥇DoozerAI: Digital workers for business operations
🥇OctoComics: Comic creation
🥈 Chatvolt: Business Communication
🥉 CrewAI: Multi Agents framework

Explore Dynamic AI Agents Leaderboard

 Featured Agents

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Agents TOP Protocols

  • MCP (Model Context Protocol): Standard way for tools to share context and data with AI models in both directions, so agents get what they need in real time. Introduced by Anthropic.

  • A2A (Agent‑to‑Agent Communication Protocol): Common message format that lets agents talk, discover each other’s abilities, and coordinate tasks securely. Introduced by Google.

  • ACP (Agent Communication Protocol): A simple, consistent structure for agents to call and control each other, making multi‑agent workflows easier. Introduced by IBM under BeeAI project.

  • ANP (Agent Network Protocol): A peer‑to‑peer framework for agents to verify identities and connect directly—think HTTP, but for AI agents. Introduced by Gaowei Chang

  • AGORA:  A flexible meta‑protocol that picks the best way (structured calls, natural language, or code) to let large networks of agents collaborate without a central hub. Introduced by researchers at the University of Oxford and Eigent AI.

What do you want to build?

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💰 ICM vs. VC: Which One’s Right for You?

Internet Capital Markets (ICM) represent a radical reimagining of startup funding that prioritizes speed, accessibility, and liquidity over the structured oversight of traditional VC. While ICM democratizes early-stage investment and provides builders with immediate capital through trading fees, it also introduces extreme volatility and speculation. Traditional VC offers stability, strategic support, and accountability but at the cost of slower processes and limited access. The ideal approach may eventually combine elements of both models, with ICM serving as an initial validation layer before more structured VC investment.

Internal Capital Markets (ICM)

  • A New decentralized fundraising model built entirely on blockchain infrastructure

  • Enables developers to raise funds directly from the community by issuing tokens for future ideas or products

  • Democratizes investment by allowing retail users to participate from the earliest stages

  • Process typically begins with a simple post on X (Twitter) using "$TICKER + Name" syntax

Venture Capital (VC)

  • Relies on professional investors and firms to identify promising startups

  • Involves extensive due diligence, formal pitches, and structured funding rounds

  • Limited to accredited investors and institutions with high minimum investments

  • Provides strategic guidance, industry connections, and governance oversight

  • Typically involves 7-10 year investment horizons with defined exit strategies

Advantages of ICM:

  • Permissionless funding without gatekeepers

  • Instant liquidity for both builders and investors

  • Aligned income through transaction fees (typically 50% to builders)

  • Frictionless virality through social media integration

  • Cultural accessibility for independent developers and creators

Challenges of ICM:

  • Extreme volatility (tokens can lose 50-65% of value within 24 hours)

  • Lack of product-market fit validation

  • Short-term speculation over substance

  • Limited legal protection and accountability

  • Potential for pump-and-dump schemes

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