4/2/2026
Show HN: Dochia – automated API testing for agentic build-test-fix loops
Dochia: API testing tool with agent skill generation for agentic build-test-fix workflows, produces OpenAPI specs and test reports.
4/2/2026
Show HN: Fonic – turning scattered work into a shareable report
Local-first desktop AI agent supporting autonomous coding, multi-agent teams, computer use, and 15+ model providers; open source BSL-1.1 license.
4/2/2026
Show HN: DataRamen, navigate your DB without a single line of SQL (no AI)
Security scanner specifically designed to detect vulnerabilities in code generated by AI models and LLMs.
4/2/2026
Visions of Mythos
Open source database navigation tool using static analysis instead of AI, enabling SQL-free database queries with local execution.
4/2/2026
Show HN: SparrowDB, SQLite of graph DB, written in Rust, Cypher compatible
SparrowDB: embedded Cypher-compatible graph database written in Rust, optimized for point lookups and aggregations rather than traversals.
4/2/2026
A Founder Tried to Pitch – and Got a Restraining Order
SmallestAI integration with n8n workflow automation platform for building AI agents and RAG applications.
4/2/2026
SmallestAI Integrated with N8n
Open source MCP server exposing 225 Zabbix API tools for AI assistants to manage monitoring infrastructure via Model Context Protocol.
4/2/2026
Powering the agents: Workers AI now runs large models, starting with Kimi K2.5
Cloudflare Workers AI adds support for large language models including Kimi K2.5, with infrastructure for building and deploying AI agents at scale.
4/2/2026
AI Slop Detector
AI data quality and model collapse prevention through smart data pruning pipeline instead of post-training hallucination detection.
4/2/2026
Lemonade by AMD: a fast and open source local LLM server using GPU and NPU
AMD Lemonade: open source local LLM server for GPU/NPU with 2MB footprint, OpenAI API compatible, prioritizing privacy and offline execution.
4/2/2026
Why I'm Building Another AI Meeting Notes Tool Instead of Using Granola.ai
Developer discusses building alternative to Granola.ai meeting notes tool with broader accessibility for non-corporate users.
4/2/2026
Most Claude Code advice is measurably wrong
Discussion claiming most advice from Claude Code AI assistant is measurably inaccurate.
4/2/2026
Desktop pet companion built from Claude Code's leaked /buddy system
Desktop pet companion application built using Claude Code's system prompts.
4/2/2026
Show HN: Agentmatic, AI marketing platform that generates full campaigns for you
Agentmatic is an AI agent platform that generates full marketing campaigns from prompts with persistent brand memory across sessions.
4/2/2026
Show HN: Memsearch – Persistent, cross-agent, cross-session memory for AI agents
Memsearch provides persistent cross-session semantic memory for AI coding agents with zero-configuration plugin installation.
4/2/2026
Ask HN: How are you choosing the model when using pi.dev?
Ask HN: Users share experiences selecting LLM models for agentic software development lifecycle with specific use cases.
4/2/2026
Show HN: SideX – VS Code rebuilt on Tauri instead of Electron (96% smaller)
SideX: Tauri-based VS Code port replacing Electron with native backend, 96% smaller with early-stage open source development.
4/2/2026
Making Sense of AI Agents Hype: Adoption, Architectures, and Takeaways from Practitioners
Analysis of 138 practitioner conference talks examining how companies adopt AI agent architectures, architectural patterns, and LLM-driven agentic system implementation.
4/2/2026
Diversity-Aware Reverse Kullback-Leibler Divergence for Large Language Model Distillation
arXiv paper: Diversity-aware RKL divergence improves LLM distillation by focusing on dominant modes in teacher-student training.
4/2/2026
MAC-Attention: a Match-Amend-Complete Scheme for Fast and Accurate Attention Computation
MAC-Attention: acceleration technique for long-context LLM decoding by reusing prior attention computations for semantically similar tokens without compression.
4/2/2026
REM-CTX: Automated Peer Review via Reinforcement Learning with Auxiliary Context
REM-CTX: RL-based peer review system using 8B LLM with Group Relative Policy Optimization, incorporating visual figures and scholarly context.
4/2/2026
Hierarchical Apprenticeship Learning from Imperfect Demonstrations with Evolving Rewards
Apprenticeship learning approach for inducing pedagogical policies from imperfect, evolving student demonstrations in e-learning environments.
4/2/2026
LLM Essay Scoring Under Holistic and Analytic Rubrics: Prompt Effects and Bias
Systematic evaluation of LLMs for educational essay scoring across holistic and analytic rubrics, analyzing human alignment and bias.
4/2/2026
Benchmarking Interaction, Beyond Policy: a Reproducible Benchmark for Collaborative Instance Object Navigation
QAsk-Nav benchmark for evaluating embodied agents combining navigation and dialogue-based question-asking for collaborative object finding tasks.
4/2/2026
Hybrid Energy-Based Models for Physical AI: Provably Stable Identification of Port-Hamiltonian Dynamics
Energy-based models framework for physical system identification with formal stability guarantees, applying to Port-Hamiltonian dynamics.
4/2/2026
The Geometry of Compromise: Unlocking Generative Capabilities via Controllable Modality Alignment
Research on reducing modality gap in Vision-Language Models like CLIP through geometric analysis to improve cross-modal tasks like captioning and clustering.
4/2/2026
VeriAct: Beyond Verifiability -- Agentic Synthesis of Correct and Complete Formal Specifications
VeriAct: agentic system for synthesizing correct and complete formal specifications using LLMs beyond just verifier-passing output.
4/2/2026
Asymmetric Actor-Critic for Multi-turn LLM Agents
Asymmetric Actor-Critic method for improving reliability of multi-turn LLM agents in one-shot settings without requiring model retraining.
4/2/2026
Robust Multimodal Safety via Conditional Decoding
CASA: conditional decoding strategy for robust multimodal safety in MLLMs against cross-modal attacks.
4/2/2026
Prompt-Guided Prefiltering for VLM Image Compression
Prompt-guided image compression for Vision-Language Models optimized for downstream VLM tasks rather than human perception.
4/2/2026
The Persistent Vulnerability of Aligned AI Systems
Research on vulnerabilities in aligned AI agents with filesystem and email access; introduces ACDC for automated circuit discovery in transformers.
4/2/2026
RAGShield: Provenance-Verified Defense-in-Depth Against Knowledge Base Poisoning in Government Retrieval-Augmented Generation Systems
RAGShield: five-layer defense against knowledge base poisoning attacks in RAG systems deployed across federal agencies.
4/2/2026
EvolveTool-Bench: Evaluating the Quality of LLM-Generated Tool Libraries as Software Artifacts
EvolveTool-Bench: diagnostic benchmark for evaluating quality of LLM-generated tool libraries as software artifacts in engineering workflows.
4/2/2026
Deep Networks Favor Simple Data
Research on out-of-distribution anomaly where deep models assign higher density to simple OOD data than in-distribution test data.
4/2/2026
G-Drift MIA: Membership Inference via Gradient-Induced Feature Drift in LLMs
Privacy attack method using gradient-induced feature drift to infer membership in LLM training data without relying on output probabilities.
4/2/2026
Polysemanticity or Polysemy? Lexical Identity Confounds Superposition Metrics
Analysis of neuron polysemy in neural networks, decomposing superposition metrics to separate lexical overlap from concept compression.
4/2/2026
First Logit Boosting: Visual Grounding Method to Mitigate Object Hallucination in Large Vision-Language Models
Method to mitigate object hallucination in Vision-Language Models through visual grounding using logit boosting without retraining.
4/2/2026
Not My Truce: Personality Differences in AI-Mediated Workplace Negotiation
Study examining how personality traits moderate effectiveness of AI-driven conversational coaching in workplace negotiation scenarios.
4/2/2026
Executing as You Generate: Hiding Execution Latency in LLM Code Generation
Technique to reduce LLM code generation latency by executing code incrementally as tokens are generated, eliminating idle waiting periods.
4/2/2026
A Reasoning-Enabled Vision-Language Foundation Model for Chest X-ray Interpretation
Vision-Language foundation model for chest X-ray interpretation providing explicit reasoning about visual evidence and diagnostic predictions.
4/2/2026
Towards Initialization-dependent and Non-vacuous Generalization Bounds for Overparameterized Shallow Neural Networks
Theoretical analysis of generalization bounds for overparameterized neural networks using distance from initialization as an explanatory factor.
4/2/2026
MOON3.0: Reasoning-aware Multimodal Representation Learning for E-commerce Product Understanding
Multimodal LLM approach for e-commerce product understanding that captures fine-grained attributes through reasoning-aware representation learning.
4/2/2026
Think, Act, Build: An Agentic Framework with Vision Language Models for Zero-Shot 3D Visual Grounding
Agentic framework combining Vision-Language Models with iterative reasoning for zero-shot 3D visual grounding from natural language descriptions.
4/2/2026
Optimsyn: Influence-Guided Rubrics Optimization for Synthetic Data Generation
Method for optimizing rubrics used in synthetic data generation for LLM fine-tuning, leveraging influence-guided selection in knowledge-intensive domains.
4/2/2026
HabitatAgent: An End-to-End Multi-Agent System for Housing Consultation
Multi-agent LLM system for housing consultation decisions, combining reasoning, constraint handling, and factuality guarantees beyond simple ranking.
4/2/2026
UniMixer: A Unified Architecture for Scaling Laws in Recommendation Systems
Unified neural architecture framework studying scaling laws across attention-based, TokenMixer, and factorization-machine recommendation systems.
4/2/2026
Streaming Model Cascades for Semantic SQL
Method using model cascades to optimize LLM inference costs in semantic SQL queries by routing rows through fast/expensive models based on confidence.
4/2/2026
Internal APIs Are All You Need: Shadow APIs, Shared Discovery, and the Case Against Browser-First Agent Architectures
Research on autonomous web agents navigating browser-based websites by leveraging internal APIs instead of DOM inspection, addressing architectural mismatches in agent design.
4/2/2026
Learning to Hint for Reinforcement Learning
Reinforcement learning technique adding hints to overcome advantage collapse in group relative policy optimization.
4/2/2026
To Memorize or to Retrieve: Scaling Laws for RAG-Considerate Pretraining
Study of tradeoffs between parametric knowledge in LLM pretraining and non-parametric knowledge from retrieval.