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AI code scanners become trustworthy only when fed explicit threat models, according to a cross-domain analysis of autonomous systems. Production agents require distributed-systems rigor including idempotent tool calls, c…
A developer built a local AI code reviewer using Ollama and the qwen2.5-coder:7b model that runs as a pre-commit hook. The TypeScript CLI feeds staged git diffs to the LLM and returns structured bug findings without send…
A developer warns that AI coding assistants can ship working endpoints in minutes but often produce tightly coupled code that becomes unmaintainable over time. The post advocates for layered architecture—separating contr…
Developer Dany Giguere released a language- and framework-agnostic audit checklist package for AI coding agents, containing 30 invariants covering security, correctness, and operability. The package works with tools like…
Anthropic's Claude Code now supports a plugin system that connects the terminal-based AI assistant to external tools, project files, and orchestrated workflows. Plugins add custom slash commands, specialized agents, hook…
A 2026 industry report reveals that 60% of enterprises are shipping untested code as AI accelerates software development, with 46% of all production code now AI-generated. Traditional test automation has failed to keep p…
AI coding agents often prioritize legibility over capability, which can disadvantage Drupal despite its strengths for structured content and permissions. A field test with Claude Code ranked Drupal third behind Next.js a…
In a 2025 benchmark comparing three industry static analysis tools against three frontier LLMs on sixty-three real vulnerabilities in ten C# projects, the LLMs achieved F1 scores between 0.75 and 0.80, significantly outp…
A new open-source tool called oh-my-wrist streams real-time Claude Code and OpenCode AI coding assistant activity directly to Garmin smartwatches over Bluetooth Low Energy. The tool provides haptic alerts for tool calls,…
Runcap, a new open-source developer tool, estimates the cost of coding agent runs before they begin and enforces a hard spending ceiling that physically stops the run when the limit is reached. The tool, which operates e…
Security researchers at Flatt.tech disclosed a critical supply-chain vulnerability in Anthropic's Claude Code GitHub Actions integration that a single malicious GitHub issue, pull request, or comment could exploit to com…
A developer community consensus has emerged that AI coding agent effectiveness depends more on repository architecture than prompt engineering. Teams are adopting a standardized `AGENTS.md` file at the repo root—a plain-…
A single Claude Code session logged approximately 1,270 model turns and cost $1,278, with two-thirds of that bill — roughly $843 — going to re-sending context the model had already seen on every turn. The developer found…
A developer in Tokyo conducted a 30-day structured benchmark of four Claude models in Claude Code, tracking token usage, response quality, and cost per task type. The results contradict the consensus that Sonnet 4 is the…
A developer built the Scarab Diagnostic Suite to address trust issues in AI-assisted code, testing it against a public GitHub repo seeking help with a broken AI-generated web app. The repair pass revealed two valid repai…
StepFun released Step 3.7 Flash, a 198-billion parameter Mixture-of-Experts vision-language model with native image understanding and improved tool-use reliability for agentic coding and search workflows. The model achie…
Google's Jules async coding agent, which became generally available in 2025 and received major updates at I/O 2026, removes developers from the code-writing loop entirely by allowing them to assign tasks and review pull …
A developer built Provenant, a system that generates human-readable wiki pages for every file and module in a codebase, then searches those pages instead of raw source code. On SWE-bench Verified across 500 GitHub issues…
According to the article, no-code AI agents built on platforms like Flowise, Dify, and n8n are vulnerable to "memory poisoning," a security threat listed as ASI06 in the OWASP Top 10 for Agentic Applications 2025. This a…
Three key developments for improving AI and data system reliability: a solution for tracing AI agent calls across tool boundaries to prevent fragmented observability, a guide for unifying Python's logging module with Ope…