A writer at Towards Deep Learning found that standard .md file setups for AI coding agents backfire. One research paper measured the actual impact.

Researchers show compiled AI pre-generates executable code artifacts instead of calling LLMs at runtime, hitting 96% task completion and cutting token use 57x at 1,000 transactions.

A non-programmer built a custom AI wake word using TensorFlow, ESPHome, and AI-assisted vibe coding. Here is what that process actually looked like.

One developer who believed AI-generated code was a shortcut tested vibe coding and came away with a different view. Here is what shifted his thinking.

Jira's new AI-native system logs every AI agent action, maps decisions to business outcomes, and uses real-time governance to cut MTTR by 30% in six months.

An OpenAI field report across eight biology projects shows coding agents like Codex and Claude Code can deliver 60x runtime gains, but participants warn they are confidently wrong in ways that are easy to miss.

A developer ran all three frontier coding models against real work in July 2026. Here is what the benchmarks miss and which model actually won the annoying tasks.

Slashy learns your tone and reply habits to auto-draft emails that sound like you. Gmail now, Outlook coming soon, at $30/mo or $300/year.

Perplexity AI released Numbat under Apache 2.0 on July 29-30, 2026. It adds local runtime guardrails and post-incident forensics to AI coding agent workflows.

Vibe coding lets non-developers build real products by describing what they want to AI tools like Claude Code, Cursor, Lovable, and Bolt. Here is how the workflow actually runs.

IAB Tech Lab shipped AAMP 2.3 with enterprise deployment options, privacy controls, and standardized workflows to move AI agents into live advertising operations.

Numbat is Perplexity's open-source security suite for AI coding agents. It ships 52 built-in rules, covers Claude Code, Codex, OpenCode, and Pi, and runs across macOS, Linux, and Windows.