4/21/2026
Using LLMs effectively isn't about prompting
Article arguing effective LLM use extends beyond prompting to system design, workflow integration, and evaluation practices.
4/21/2026
Schmoozebots: Study finds flattery will get AI everywhere
Study on how anthropomorphic traits like warmth and empathy influence human trust in LLM interactions.
4/21/2026
Show HN: Rapunzel, a tree-style tab browser for agents
Rapunzel: tree-style tab browser for terminal-based AI agents, inspired by Firefox Tree Style Tab extension.
4/21/2026
Show HN: Doxa – open-source platform for multiagent simulations using easy YAML
Open-source YAML-driven platform for multi-agent simulations combining LLM reasoning with economic microstructure.
4/21/2026
I moved my AI's memory into a local database (better than folders and .md)
Local graph database with MCP integration for AI agents to store and retrieve memory without cloud infrastructure.
4/21/2026
Kimi K2.6 with Strix: a quick test
Benchmark evaluation of Kimi K2.6 LLM on security-focused tasks using Strix lab methodology.
4/21/2026
Show HN: Unwired – LLM-powered DNS to filter the internet
Open-source DNS filtering layer using LLMs for content moderation based on user preferences instead of static blocklists.
4/21/2026
Claude Evolve: ShinkaEvolve code evolution on only Claude Code
Claude Code plugin implementing ShinkaEvolve evolutionary algorithm for autonomous code discovery without external APIs.
4/21/2026
AgentSearch – self-hosted SearXNG API for LLM search, no keys
Self-hosted SearXNG-backed search API and MCP server for LLM agents and RAG pipelines, alternative to paid search APIs without per-query costs.
4/21/2026
What software engineer have to learn in era of LLMs
Opinion piece on what software engineers need to learn in the era of LLMs, discussing code as orchestration of AI agents.
4/21/2026
Show HN: Agensi – Curated marketplace for AI agent skills (SKILL.md)
Marketplace for SKILL.md agent skills that teach AI coding agents new capabilities. Built with Claude Code and Lovable.
4/21/2026
I built an AI SRE in 60mins, you should too
Building an AI SRE agent using Claude with Grafana CLI integration for querying logs, traces, and alerts to assist incident investigation.
4/21/2026
Show HN: Anvil-uplink-CLI – agent-safe terminal CLI for Anvil.works apps
CLI wrapper over Anvil.works Server Uplink for agent-safe terminal access to low-code Python web app backend functions and data.
4/21/2026
Show HN: My AI Native Obsidian Setup
Obsidian note-taking workflow enhanced with Claude AI for automated linking and wiki knowledge compounding similar to LLM-maintained systems.
4/21/2026
DotLLM – Building an LLM Inference Engine in C#
Ground-up LLM inference engine written in pure C# for local model execution in .NET applications without external dependencies.
4/21/2026
Keeping code quality high with AI agents
Discussion of maintaining code quality when using AI agents for development, addressing process and pattern consistency issues.
4/21/2026
Enhancing Sporting Organisation Efficiency with Generative AI
Practical guide for sports leaders using generative AI capabilities including multimodal understanding and tool use for organizational efficiency.
4/21/2026
AI agents are a security nightmare. Moving the dev workflow to QEMU
Analysis of AI agent security risks using Clinejection attack example, proposing QEMU sandboxing for safer agent execution in development workflows.
4/21/2026
The Anatomy of Tool Calling in LLMs: A Deep Dive
Deep technical dive into tool calling/function calling mechanisms in LLMs, covering architecture, failure modes, and reliable system design for agentic applications.
4/21/2026
Show HN: OpenBridge – turn web chat access into an OpenAI-compatible endpoint
OpenBridge provides a local bridge converting web chat model access into OpenAI-compatible API endpoints for use with AI agents and tools.
4/21/2026
Less human AI agents, please
Opinion piece critiquing AI agents for mimicking human flaws like rule-breaking and rationalization instead of maintaining strict constraint adherence.
4/21/2026
Show HN: Alignear – Client communication layer for Linear teams
Alignear is a communication layer for Linear project management that automatically translates internal workflow data into client-friendly updates.
4/21/2026
The Vercel Breach Needed Malware. The Next One Needs a Bad Readme
Security proxy for AI coding agents operating at OS level to prevent credential theft and malware infection vectors.
4/21/2026
Show HN: PrivacyScrubber - Local PII redactor for AI (works in Airplane Mode)
Local tool for redacting personally identifiable information before sending data to LLMs, works offline with no server logs.
4/21/2026
Show HN: AI agents deploy apps autonomously (no accounts, no API keys)
Machine Payments Protocol enables AI agents to autonomously deploy apps using on-chain stablecoin payments instead of API keys or OAuth.
4/21/2026
Mason – A multi agent system in a container using Claude Code
MASON: Multi-agent simulation platform using Claude to coordinate teams of AI agents with distinct skills and roles.
4/21/2026
Aiguard-scan – Find secrets and vulnerabilities in AI-generated code
CI/CD security scanner detecting vulnerabilities and secrets in code generated by AI coding agents like Claude Code and Cursor.
4/21/2026
Predicting LLM Compression Degradation from Spectral Statistics
Method to predict degradation in LLM compression before execution by analyzing spectral statistics, tested on Qwen3 and Gemma3 with multiple low-rank compression methods.
4/21/2026
Towards E-Value Based Stopping Rules for Bayesian Deep Ensembles
Research on e-value based stopping rules for Bayesian Deep Ensembles to reduce computational cost of uncertainty quantification in deep learning.
4/21/2026
Generalization Boundaries of Fine-Tuned Small Language Models for Graph Structural Inference
Study of generalization boundaries for fine-tuned small language models on graph structural inference tasks across different graph sizes and distributions.
4/21/2026
LoRaQ: Optimized Low Rank Approximation for 4-bit Quantization
LoRaQ method for optimizing 4-bit post-training quantization of large diffusion transformers using low-rank approximation for resource-constrained deployment.
4/21/2026
Does "Do Differentiable Simulators Give Better Policy Gradients?'' Give Better Policy Gradients?
Research comparing differentiable simulator gradients versus derivative-free estimators in policy gradient reinforcement learning.
4/21/2026
Scalable Neighborhood-Based Multi-Agent Actor-Critic
Research on MADDPG-K, scalable multi-agent reinforcement learning addressing computational limitations of centralized critics.
4/21/2026
Towards Disentangled Preference Optimization Dynamics Beyond Likelihood Displacement
Research on preference optimization dynamics in LLM alignment addressing likelihood displacement problem.
4/21/2026
Correction and Corruption: A Two-Rate View of Error Flow in LLM Protocols
Research framework for auditing multi-call LLM protocols to understand error propagation and effectiveness under distribution shift.
4/21/2026
Universally Empowering Zeroth-Order Optimization via Adaptive Layer-wise Sampling
Research on zeroth-order optimization for memory-efficient LLM fine-tuning with adaptive layer-wise sampling.
4/21/2026
CAARL: In-Context Learning for Interpretable Co-Evolving Time Series Forecasting
Research proposing CAARL framework using LLMs for interpretable forecasting of coevolving time series.
4/21/2026
Randomly Initialized Networks Can Learn from Peer-to-Peer Consensus
Machine learning research on self-supervised learning through peer-to-peer consensus in randomly initialized networks, exploring self-distillation mechanisms.
4/21/2026
Balance-Guided Sparse Identification of Multiscale Nonlinear PDEs with Small-coefficient Terms
Machine learning research on sparse identification of multiscale nonlinear PDEs using Balance-Guided SINDy for data-driven equation discovery.
4/21/2026
Knowing When to Quit: A Principled Framework for Dynamic Abstention in LLM Reasoning
Framework for dynamic mid-generation abstention in LLM chain-of-thought reasoning to early-exit unpromising traces and reduce compute waste.
4/21/2026
AutoPPA: Automated Circuit PPA Optimization via Contrastive Code-based Rule Library Learning
LLM-based automation for circuit PPA optimization using contrastive learning on code rules. Specialized EDA application.
4/21/2026
Learning Invariant Modality Representation for Robust Multimodal Learning from a Causal Inference Perspective
Causal inference framework for learning invariant representations in multimodal affective computing to improve robustness.
4/21/2026
Semantic Step Prediction: Multi-Step Latent Forecasting in LLM Reasoning Trajectories via Step Sampling
Extends Semantic Tube Prediction for multi-step latent forecasting in LLM reasoning via step sampling to improve data efficiency.
4/21/2026
NI Sampling: Accelerating Discrete Diffusion Sampling by Token Order Optimization
Token order optimization for discrete diffusion language models to accelerate sampling speed beyond traditional autoregressive decoding.
4/21/2026
Train Separately, Merge Together: Modular Post-Training with Mixture-of-Experts
BAR framework trains independent domain experts separately via supervised finetuning and RL, composes via mixture-of-experts for modular LLM post-training.
4/21/2026
Barrier-enforced multi-objective optimization for direct point and sharp interval forecasting
Multi-objective neural network framework for point and interval forecasting with non-crossing prediction intervals.
4/21/2026
Too Correct to Learn: Reinforcement Learning on Saturated Reasoning Data
Addresses mode collapse in RL training for LLM reasoning on saturated benchmarks. Proposes Constrained Uniform Top-K Sampling for improved policy learning.
4/21/2026
IDOBE: Infectious Disease Outbreak forecasting Benchmark Ecosystem
Benchmark ecosystem for epidemic forecasting using statistical and ML models. Specialized application domain with limited relevance.
4/21/2026
A Note on TurboQuant and the Earlier DRIVE/EDEN Line of Work
Technical note clarifying relationship between TurboQuant and earlier DRIVE/EDEN quantization schemes for neural networks.
4/21/2026
Latent Phase-Shift Rollback: Inference-Time Error Correction via Residual Stream Monitoring and KV-Cache Steering
Inference-time error correction for LLMs via residual stream monitoring and KV-cache steering to prevent mid-generation reasoning errors.