PlayerZero raises $15M to prevent AI agents from shipping buggy code | TechCrunch https://t.co/SBUL87ovr4 ...

A no-code launcher for memecoins and AI agents on BNB Chain, may have been leaked mid-livestream by a ChainGPT team member. Details here ⬇️https://t.co/h4leqBW61a ...

RT Bloomberg Live (@BloombergLive)"2025 is the year for AI agents - agents will work with humans and agents will also work with agents," @unravelcarbon's @gracesai at #SustainableBizSummit⏯️ https://t.co/pybnzsnKOu https://t.co/Yqy8oO9ND6 ...

Project Overview - Gaia aims to provide a decentralized computing infrastructure for creating, deploying, scaling, and monetizing AI agents [1] - Gaia positions itself as an alternative to OpenAI, offering customizable AI agents with fine-tuned models and domain knowledge [1] Listing Information - BitMart announces the primary listing of Gaia (GAIA) [1] - Trading pair is GAIA/USDT [2] - Trading is scheduled to commence on July 30, 2025, at 9:00 AM UTC [2]

Coding agents are transforming how software gets built, tested, and deployed, but engineering teams face a critical challenge: how to embrace this automation wave without sacrificing trust, control, or reliability. In this 80 minute workshop, you’ll go beyond toy demos and build production-minded AI agents using Dagger, the programmable delivery engine designed for real CI/CD and AI-native workflows. Whether you're debugging failures, triaging pull requests, generating tests, or shipping features, you'll le ...

Core Argument - Factory believes agentic systems will radically change software development, transitioning from human-driven to agent-driven development [2] - The company emphasizes that AI tools are only as good as the context they receive, and providing comprehensive context is crucial for effective AI-assisted development [14][15][16] - The company advocates for using agents at every stage of development, including planning and design, by delegating groundwork and research to AI agents [18][19][20] Technological Advancements - The company's "droids" can ingest tasks, ground themselves in the environment, search codebases, and generate pull requests that pass CI [12][13] - The company's platform integrates natively with various data sources, enabling agents to access and utilize information from across the organization [17] - The company's system can condense incident response search efforts from hours to minutes by pulling context from relevant system logs, past incidents, and team discussions [31][32] Enterprise Solutions & Security - Factory is an enterprise platform focused on security, auditability, and ownership concerns related to AI agents in large organizations [41][42] - The company offers a platform with controls to address security concerns and emphasizes the importance of responsible AI implementation within enterprises [43] - The company provides 20 million free tokens for users to try out the droids [40] Future of Software Development - The industry is moving from executing to orchestrating systems, with developers managing agents and building patterns that supersede the inner loop of software development [27][38] - The future belongs to developers who can effectively work with AI agents, with clear communication skills being paramount [39] - AI agents amplify individual capabilities, allowing developers to focus on higher-leverage tasks and the outer loop of software development [37][38]

Imbue's Focus and Sculptor's Purpose - Imbue is focused on creating more robust and useful AI agents, specifically software agents, with Sculptor as its main product [1] - Sculptor aims to bridge the gap between AI-generated code and production-ready code, addressing the challenges of using AI coding tools in established codebases [3] - The goal of Sculptor is to build user trust in AI-generated code by using another AI system to identify potential problems like race conditions or exposed API keys [7][8] Key Technical Decisions and Features of Sculptor - Sculptor emphasizes synchronous and immediate feedback on code changes to facilitate early problem detection and resolution [9][10] - Sculptor encourages users to learn existing solutions, plan before coding, write specs and docs, and adhere to strict style guides to prevent errors in AI-generated code [11][12][13][15][16][18] - Sculptor helps detect outdated code and documentation, highlights inconsistencies, and suggests style guide improvements to maintain code quality [17][18][19] Error Detection and Prevention Strategies in Sculptor - Sculptor integrates automated tools like linters to detect and automatically fix errors in AI-generated code [21][22] - Sculptor promotes writing tests, especially with AI assistance, to ensure code correctness and prevent unintended behavior changes [25][26][27] - Sculptor advocates for functional-style coding, happy and unhappy path unit tests, and integration tests to improve test effectiveness [28][29][30][33] - Sculptor utilizes LLMs to check for various issues, including style guide violations, missing specs, and unimplemented features, allowing for custom best practices [38] Future of AI-Assisted Development - Imbue is interested in integrating other developer tools for debugging, logging, tracing, profiling, and automated quality assurance into Sculptor [42][44] - The company anticipates that improved contextual search systems and AI models will further enhance the development experience [43]

RT BSCN (@BSCNews)🚨 2025 DEEP DIVE: $PORT3 - With more than 5 million users and a unique approach to AI agents, @Port3Network is one you need to know about...https://t.co/CYCa85ND3o ...

New Anthropic research: Building and evaluating alignment auditing agents.We developed three AI agents to autonomously complete alignment auditing tasks.In testing, our agents successfully uncovered hidden goals, built safety evaluations, and surfaced concerning behaviors. https://t.co/HMQhMaA4v0 ...

AI Team Anatomy - Companies should recognize that technology is not always the limitation to success, but rather how technology is used [1] - Companies need to identify their bottlenecks, such as shipping features, acquiring/retaining users, monetization, scalability, and reliability, to prioritize hiring accordingly [3][4] - Companies should consider whether to trade their existing team with domain knowledge for AI researchers from top labs, weighing the value of domain expertise against specialized AI skills [1] Generalists vs Specialists - Companies should structure AI teams comprehensively, recognizing that success isn't tied to a single role [2] - Companies should prioritize building a comprehensive AI team with skills in model training, model serving, and business acumen, balancing budget constraints [7] - Companies should understand the trade-offs between hiring generalists and specialists, with generalists being adaptable and specialists pushing for extra performance [18][19] Upskilling and Hiring - Companies should focus on upskilling employees in building, domain expertise, and human interaction [19] - Companies should hire based on the need to hold context and act on context, ensuring accountability for AI systems [23][24][25] - Companies should verify trends and think from first principles when hiring, considering new grads, experienced professionals, and retraining opportunities [27]