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llm
536 postsAI Code Audit: 15 Security Flaws Claude Found in Production
An LLM-based security audit uncovered 15 OWASP-classified flaws-SQL/NoSQL injection, IDOR, path traversal-each shown with vulnerable and fixed code.
Agentic AI: Solid Upfront Design Pays Off Later
DumbQuestion.ai's new Startup Roast feature shows how solid upfront architecture saves tokens and time when extending agentic AI products.
Building a Compliance Answer Engine That Refuses to Hallucinate
How a Swiss compliance RAG system uses two-layer retrieval and mandatory citations to structurally block hallucinated numbers and claims.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comAI Audit Uncovers Seven Real Bugs in Cloudflare's CIRCL
zkSecurity's AI audit tool found seven real bugs in Cloudflare's CIRCL cryptography library, all now fixed and mostly rewarded via HackerOne.
Don't Let the LLM Speak, Just Probe Its Hidden State
LLMs already encode the answer in hidden states before generating text. A tiny probe turns this into fast, cheap, calibrated zero-shot classifiers without generation.
How context is managed in long-running agentic systems
A look at how Director's Journal, Critic's Review and Timeline mechanisms keep multi-agent security investigation systems coherent over long-running sessions.
Swarm: A New Framework for Multi-Agent Workflows in Swift
Swarm is a multi-agent framework that provides compile-time security with Swift 6.2, offering an alternative to LangChain. It provides type-safe tools and crash recovery.
Does Code Cleanliness Affect Coding Agents?
Research explores the impact of code cleanliness on autonomous coding agents, highlighting its importance for efficiency in AI-driven development.
Vosti: Specifying, Implementing, and Verifying Deterministic LLM Inference
Vosti is an inference engine ensuring deterministic outputs in LLM systems, achieving performance and formal verification.
Flux: Compile an LLM to Your Hardware and Serve It
Flux creates the optimal plan for LLM inference on your hardware.