Show HN: PreApply – Terraform plan analyzer with blast radius and risk scoring
Python call graph analyzer with MCP support for LLM integration. Developer tool enabling LLM visibility into code structure and dead code detection.
Python call graph analyzer with MCP support for LLM integration. Developer tool enabling LLM visibility into code structure and dead code detection.
Terraform plan analysis tool for infrastructure risk assessment. Developer tool with minor relevance to broader ecosystem.
Building embedding API using EmbeddingGemma model on AWS Lambda with Rust. Demonstrates practical LLM deployment and inference optimization.
Techniques for optimizing LLM context window usage and reducing computational costs. Directly addresses efficiency challenges in LLM deployment.
DevTools for debugging and optimizing AI agent context windows. Directly addresses developer tooling for agent systems.
Claude used to generate a solar system simulator. Demonstrates LLM capability for code generation with practical challenges.
Daily roundup of AI shipping vs announcements. General industry intelligence without deep technical focus.
Comparison of data warehouse, data lake, and lakehouse architectures with Python examples. Infrastructure-focused, tangential to core ML.
Personal account of using AI to improve task completion and writing speed. Anecdotal productivity gains without technical depth.
Production video-to-prompt system converting YouTube/TikTok/Instagram videos into AI prompts. Real-world LLM application architecture.
Discussion of licensing restrictions to prevent LLM training on code. Relevant to open source AI governance.
C# sentiment analysis implementation without Python dependencies. Practical ML tool for .NET developers.
Text-to-video AI generation tool. Practical LLM/generative AI application with minimal technical detail.
Embedded vector database for AI applications. Key infrastructure for LLM and ML systems.
Automated research system. Relevant to AI agents and autonomous systems development.
SDK tracking AI model usage per customer and profitability. Tools for LLM product management and cost analysis.
Invisible prompt injection vulnerability. Critical security concern for LLM applications and agents.
Discussion of evolving software engineering roles in AI era. Career perspective relevant to developer audience but not technical content.
Comparison of Claude and GPT-4 models across features and use cases. General model overview useful for practitioners but lacks technical depth.
Analysis of 125 open-source LLM models with hardware compatibility guidance. Directly helps developers select and deploy models on constrained systems.
Analysis of when GPU acceleration degrades performance in ML workloads. Applicable context but not specific to core interests.
Custom Claude Code interface adding gaming sound notifications. Light tooling enhancement with LLM coding integration.
Common mistakes indie developers make building with AI in 2026; practical guidance for AI application development.
Methods for verifying AI system safety, fairness, and privacy claims to support trustworthy development practices.
Interview prep tool using LLM transcription and AI-generated responses. Relevant for LLM application use cases in productivity tools.
Alternating Reinforcement Learning for Rubric-Based Reward Modeling in Non-Verifiable LLM Post-Training
Humanoid Manipulation Interface: Humanoid Whole-Body Manipulation from Robot-Free Demonstrations
When Evaluation Becomes a Side Channel: Regime Leakage and Structural Mitigations for Alignment Assessment
Reinforcement Inference: Leveraging Uncertainty for Self-Correcting Language Model Reasoning
Efficient reduction of stellar contamination and noise in planetary transmission spectra using neural networks
End-to-End Semantic ID Generation for Generative Advertisement Recommendation
Spend Search Where It Pays: Value-Guided Structured Sampling and Optimization for Generative Recommendation
Deep analysis of OpenClaw ecosystem including architecture, core projects, and applications; open source AI infrastructure.
Analysis of LLM reasoning failure modes. Research-focused exploration of LLM limitations and behavior.
Approach to improve 15 LLMs' coding ability by modifying only the evaluation harness. Direct ML research on LLM capabilities.
Phoenix Architecture pattern for AI-native software factories. Architectural approach to building production AI systems.
Smithers: declarative AI orchestration framework using React. Shows framework approach to building AI systems for developers.
Technical exploration of LLM control methods beyond prompting, covering activation-level steering techniques. Advances understanding of model behavior.
Technical pipeline converting video to AI-ready prompts for generative models using computer vision; bridges vision and LLMs.
Data engineering patterns for aggregating and normalizing fitness data from multiple sources; practical pipeline work.
CLI tool to monitor AI agent activity in git repos and track local state. Addresses practical challenge of managing AI-generated code changes.
MicroGPT: 243-line Python implementation of GPT algorithm from scratch. Demystifies LLM internals and enables transparency in AI development.
Developer's experience using AI detectors as code analysis tools in generative AI era. Explores practical AI tooling for developers.
Question about extracting bank statements from PDFs using LLMs. Practical LLM application with extraction focus.
Discussion of production-ready AI agent frameworks vs. toy projects, covering persistence, tool use, and multi-model support requirements.
Open-source MCP server enabling AI assistants to shop via Google UCP. Demonstrates agent framework implementation and tool use.
Examines model drift through governance perspective, distinguishing behavioral drift from statistical drift in ML systems.
8-bit quantization techniques for shrinking AI models and accelerating inference on edge devices. Core ML optimization research.
Using AI to generate brand names. Demonstrates practical LLM application for creative naming tasks.
Building RL agent for paragliding strategy. ML research application in specialized domain.