3/16/2026
Docker Sandboxes and Docker Agent
Docker Sandboxes enables AI agents to autonomously handle multi-disciplinary development tasks. Frames agents replacing context-switching across product/design/engineering roles.
3/16/2026
Show HN: Signbee – An API that lets AI agents send documents for signature
API enabling AI agents to handle document signing workflows end-to-end. Solves agent workflow bottleneck with markdown-to-PDF and URL-based PDF signing.
3/16/2026
AI and Visual Editor to Create and Host Landing Pages
AI-powered landing page generator producing copy, layout, and design automatically. LLM application with marketing focus, limited technical novelty.
3/16/2026
What's the Best LLM for Coding in 2026
Comparative analysis of LLMs for code generation and debugging, examining performance across reasoning, code generation, and general understanding tasks.
3/16/2026
Benchmarking LLMs at the Game of Science (Eleusis) [video]
Video benchmarking LLMs on Eleusis game of science task. Evaluates LLM reasoning capabilities.
3/16/2026
Bb-browser – Turn the web into agent-friendly CLI
CLI tool enabling AI agents to control web browsers using existing login sessions across 36 platforms without APIs or scrapers.
3/16/2026
Show HN: AllocDB – A deterministic resource-allocation DB built with Codex
AllocDB is a deterministic resource-allocation database built with Codex using strict architectural principles, tested with Jepsen and KubeVirt infrastructure.
3/16/2026
List of Rules for Cursor
Configuration system for Cursor AI editor defining custom rules and behaviors for code generation via .cursorrules files.
3/16/2026
nCPU: a CPU implemented using neural networks, runs completely on GPU
Neural network-based CPU implementation running on GPU with differentiable computation graph. Conceptual project exploring gradient descent optimization of programs.
3/16/2026
Show HN: Vizit – Generate and organise visualizations from Jira using AI agents
Self-hosted visualization tool using AI agents with GitHub Copilot CLI to generate and organize dashboards from Jira data. Open source developer tool.
3/16/2026
Code on the Fastest Largest AI Chip Ever Built
Announcement of GPT-5.3-Codex-Spark model for real-time coding in Cursor IDE, 1000+ tokens/sec, 128k context window, text-only. Details sparse, appears promotional.
3/16/2026
Show HN: Shard – Stop watching one AI agent code for 45 min. Run four at once
Shard automatically decomposes complex coding tasks into parallel DAG sub-tasks, allowing multiple AI agents to work simultaneously with zero merge conflicts.
3/16/2026
Site that turns yesterdays AI security research papers into news articles
News aggregation site converting AI security research papers into articles, covering LLM deception risks, agent architectures, and attack surface mapping.
3/16/2026
AI is making open source more about intent than syntax
AI tools lower barriers to open source contributions by helping developers understand codebases and projects, shifting focus from syntax mastery to problem intent.
3/16/2026
Show HN: I built an MCP server that lets you manage Meta's Threads from Claude
MCP server for managing Meta's Threads from Claude, built with Claude Code. Enables social media automation through AI agent integration.
3/16/2026
Neuroscope: Real-time "x-ray vision" into LLMs' minds
Neuroscope tool providing real-time interpretability into LLM internal representations. Developer tool for understanding LLM behavior.
3/16/2026
LLMs gave the overconfident colleague an unlimited ceiling
Opinion piece on how LLMs enable overconfident employees to obscure lack of competence. Commentary on LLM societal impact.
3/16/2026
Before AI's Kepler Moment – Are LLMs the Epicycles of Intelligence?
Critical analysis comparing LLMs to epicycles in astronomy, questioning whether intelligence is the appropriate metric for evaluating current language models.
3/16/2026
Show HN: Port42 – AI companions that build and act on your Mac (v0.5.0)
Port42: SwiftUI app enabling AI companions to build interactive UIs and act on macOS. Open source developer tool with live code demo.
3/16/2026
What Is an Agent Harness?
Agent harness concept: software infrastructure wrapping LLMs/agents for orchestrating tools, memory, workflows. Technical introduction with architectural focus.
3/16/2026
Agentic Trust Framework (ATF)
Agentic Trust Framework: open security specification for Zero Trust governance of autonomous AI agents. Standards and governance for agent deployment.
3/16/2026
BotStadium – AI agents compete on live sports predictions in real-time
BotStadium: research platform simulating AI agent behavior through competitive sports predictions. Agent behavior analysis and testing platform.
3/16/2026
LLM Architecture Gallery
LLM Architecture Gallery: curated collection of architecture diagrams and specifications for major LLMs. Technical reference resource.
3/16/2026
Vision Verification Enhanced Fusion of VLMs for Efficient Visual Reasoning
Multi-VLM ensemble method using vision and language modalities to select complementary models for efficient visual reasoning.
3/16/2026
Colluding LoRA: A Composite Attack on LLM Safety Alignment
Composite attack on LLM safety alignment where multiple LoRA adapters appear benign individually but suppress safety when composed.
3/16/2026
STRAP-ViT: Segregated Tokens with Randomized -- Transformations for Defense against Adversarial Patches in ViTs
Defense mechanism against adversarial patches in Vision Transformers using token segregation and randomized transformations.
3/16/2026
FGTR: Fine-Grained Multi-Table Retrieval via Hierarchical LLM Reasoning
Hierarchical LLM-based approach for fine-grained multi-table retrieval using compositional reasoning instead of coarse-grained similarity matching.
3/16/2026
Design-Specification Tiling for ICL-based CAD Code Generation
In-context learning strategy for CAD code generation using design-specification tiling to improve LLM performance on domain-specific tasks.
3/16/2026
UNIStainNet: Foundation-Model-Guided Virtual Staining of H&E to IHC
Foundation model-guided approach for virtual immunohistochemistry staining from H&E images to accelerate pathology diagnostics.
3/16/2026
Anchored Alignment: Preventing Positional Collapse in Multimodal Recommender Systems
Multimodal recommendation framework using anchor-based alignment in projection space to prevent modality collapse and ID dominance.
3/16/2026
VecMol: Vector-Field Representations for 3D Molecule Generation
Novel 3D molecule generation framework using vector-field representations to address modality entanglement and geometry-chemistry constraints.
3/16/2026
Show, Don't Tell: Detecting Novel Objects by Watching Human Videos
Self-supervised system for robots to detect and recognize novel objects from human video demonstrations without prompt engineering.
3/16/2026
Taming the Long Tail: Efficient Item-wise Sharpness-Aware Minimization for LLM-based Recommender Systems
Efficient optimization technique addressing long-tail distribution problem in LLM-based sequential recommender systems.
3/16/2026
TerraFlow: Multimodal, Multitemporal Representation Learning for Earth Observation
Multimodal foundation model for Earth observation using temporal training objectives robust to variable-length satellite and sensor data.
3/16/2026
PVI: Plug-in Visual Injection for Vision-Language-Action Models
Method for injecting auxiliary visual features into vision-language-action models to improve geometric understanding and temporal reasoning for robotic manipulation.
3/16/2026
NanoVDR: Distilling a 2B Vision-Language Retriever into a 70M Text-Only Encoder for Visual Document Retrieval
Model distillation approach compressing 2B vision-language retriever into 70M text-only encoder for efficient document retrieval.
3/16/2026
From AI Weather Prediction to Infrastructure Resilience: A Correction-Downscaling Framework for Tropical Cyclone Impacts
AI-based framework transforming global weather forecasts into fine-grained wind field predictions and infrastructure failure probabilities for tropical cyclones.
3/16/2026
Rethinking VLMs for Image Forgery Detection and Localization
Research on using vision-language models for detecting and localizing forged images, studying how VLM priors affect forgery detection performance.
3/16/2026
Accelerating Stroke MRI with Diffusion Probabilistic Models through Large-Scale Pre-training and Target-Specific Fine-Tuning
Data-efficient MRI reconstruction strategy using diffusion probabilistic models with pre-training and fine-tuning.
3/16/2026
FraudFox: Adaptable Fraud Detection in the Real World
Adaptable fraud detection system handling adversarial attacks in resource-constrained environments with multiple risk modules.
3/16/2026
ARL-Tangram: Unleash the Resource Efficiency in Agentic Reinforcement Learning
Framework (ARL-Tangram) optimizing resource efficiency in agentic RL by dynamically allocating external compute resources.
3/16/2026
SAW: Toward a Surgical Action World Model via Controllable and Scalable Video Generation
Surgical world model using controllable video generation for simulating surgical actions with precise tool-tissue control.
3/16/2026
SortScrews: A Dataset and Baseline for Real-time Screw Classification
Dataset and baseline for real-time screw classification in industrial automation and robotic systems.
3/16/2026
ESPIRE: A Diagnostic Benchmark for Embodied Spatial Reasoning of Vision-Language Models
Diagnostic benchmark (ESPIRE) for evaluating vision-language models on embodied spatial reasoning tasks.
3/16/2026
Association-Aware GNN for Precoder Learning in Cell-Free Systems
GNN approach for precoder learning in cell-free wireless systems accounting for dynamic user-access point associations.
3/16/2026
Federated Few-Shot Learning on Neuromorphic Hardware: An Empirical Study Across Physical Edge Nodes
Empirical study of federated few-shot learning on neuromorphic hardware using spike-timing-dependent plasticity.
3/16/2026
Convergence Rate of a Functional Learning Method for Contextual Stochastic Optimization
Convergence analysis of functional learning methods for contextual stochastic optimization problems.
3/16/2026
Towards Faithful Multimodal Concept Bottleneck Models
Research on interpretable multimodal concept bottleneck models ensuring faithful explanations through proper concept detection.
3/16/2026
Partially Observable Multi-Agent Reinforcement Learning with Information Sharing
Provable multi-agent reinforcement learning in partially observable stochastic games leveraging information sharing among agents.
3/16/2026
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors
Introduces diffusion models as expressive variational posteriors for black-box inference in latent variable models.