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A half-day prototype can uncover critical feedback that extensive polish would miss, teaching developers to learn what to build before completing the build.
The author built AutoBacklink, an AI tool that automates contextual backlink creation by generating and publishing SEO-friendly articles. They seek feedback on the product and its future roadmap integrating AEO and GEO.
Instagram founder Kevin Systrom shares three common startup mistakes: not launching fast enough, not focusing on specific problems, and maximizing features instead of doing a few things really well.
Santiago Valdarrama shares a framework for building AI agents that improve over time through three learning areas: model refinement, harness optimization, and context accumulation, emphasizing the importance of learning from user corrections.
This week's Phoenix update adds server-side bash for PXI subagents with sandboxed execution and built-in GraphQL access, improving feedback visibility and agent capabilities.
Discussion on how loops in AI agents can amplify both good and bad behaviors, emphasizing the need for an engaged human in the loop to guide the agent's learning of user preferences.
A user proposes a hardware setup using four RTX 5060 Ti GPUs and 512 GB of DDR3 server RAM to run GLM2 at a decent quantization and seeks feedback on the idea's viability.
A user expresses dissatisfaction with the Hermes Agent's appearance and UX, finding it sluggish compared to Pi mono agent despite its built-in features, and seeks others' experiences.
Built a new tracer for debugging AI agents that auto-detects loops, logs sessions as readable timelines, and allows side-by-side comparison. Seeking feedback.
Users on Hacker News share their experiences with Apple Vision Pro, with some praising its daily use as a virtual monitor and others criticizing reflections, battery issues, and blurriness for prescription users.
PaperMentor is a human-centered multi-agent writing assistant that integrates an expert skill library with specialized agents to provide actionable inline comments on Overleaf, outperforming GPT-5.2 in usability and relevance for AI research papers.
A new version of Gemini 3.5 Flash has been rolled out on Antigravity, with improvements for harder tasks and reset rate limits for all users.
The article argues that self-evolution in AI agents should be applied cautiously and proposes an Evolution Governor that audits workflows to decide when to evolve, based on conditions like repeatable tasks and external feedback.
OpenAI shipped a new version of GPT-5.5 Instant with improvements in sycophancy, factuality, and multilingual performance, and is seeking user feedback.
The author is building Synapsor, a beta tool for AI agents that provides governed memory, staged writes, replay, permissions, and audit trails, and is seeking feedback from agent builders.
The author introduces AgentsHive, a coordination layer for managing teams of AI agents across tools and models, and asks for feedback from Claude users on workflow pain points and human-in-the-loop requirements.
This paper introduces algometrics, a framework for time series forecasting under algorithmic feedback, proving that deployment risk differs from historical risk and is not identifiable from passive data alone. It provides methods for estimating deployment risk using interventions or randomized actions.
OpenAI introduces an advanced annotation mode for Codex that lets users adjust webpage appearance while leaving feedback, enhancing collaboration.
Elon Musk praises the performance of Composer 2.5, a model from Cursor, as Lee Robinson solicits feedback for improvements.
Microsoft's new Xbox Player Voice portal reveals top fan requests for exclusive games, more backward compatible titles, and free online multiplayer.