A self-hosting developer turned their Gitea repository into an autonomous software development system by connecting Google's Antigravity AI agents in headless mode, enabling scheduled agents to analyz…
AI cannot reliably diagnose cloud storage incidents when telemetry is isolated across separate dashboards, according to a new approach advocating evidence graphs that connect traces, metrics, logs, ev…
A developer demonstrates how to run AI code review locally using Ollama and models like Mistral 7B or Llama 2 13B, avoiding cloud dependencies and privacy concerns. The approach integrates with Git ho…
AI is transforming software testing, shifting the SDET role from manually writing every test to designing, guiding, and validating intelligent testing systems. An engineer recommends seven AI tools fo…
Himanshu Agarwal argues that traditional QA interview preparation is obsolete for AI-first companies, where non-deterministic systems require testing behavioral properties like faithfulness and safety…
Rigorix, a new open-source coding agent runtime, compiles natural-language development tasks into deterministic Directed Acyclic Graphs (DAGs) before execution, separating planning from execution to e…
A senior software engineer argues that prompts are disposable while skills are infrastructure, drawing on frameworks from Dan Shapiro and Nate B. Jones. The engineer identifies Gherkin scenario qualit…
A developer outlines a production readiness checklist for AI systems after proof-of-concept, emphasizing that infrastructure layers—data pipelines, architecture, and monitoring—are more critical than …
A developer observed that AI coding agents generate code in seconds, making pull-request CI the bottleneck. The developer argues that cheap, deterministic checks like lint and unit tests should be mov…
The rise of AI-driven software development and CI/CD pipelines is challenging traditional vulnerability management systems like CVE and CVSS, as codebases are rapidly rewritten and vulnerabilities are…
GitHub's Agentic Workflows preview integrates agents into the existing CI/CD control plane rather than creating a separate execution model. The feature allows developers to describe workflows in Markd…
Himanshu Anand published a defender playbook for the LLM era, arguing that attackers are automating exploit generation while defenders lag behind. He proposes running the same LLM-driven attack loop i…
AI agents are introducing new security risks in software development by autonomously planning, building, and shipping code, shifting the security focus from artifact inspection to trusting the agent s…
Anthropic's Claude Code agent can now run inside GitHub Actions, but developers must carefully restrict its permissions to avoid security risks. The CI/CD integration allows the AI agent to review pul…
AI agents are transforming database usage, making traditional Database Activity Monitoring (DAM) insufficient because agents operate with delegated identities and lack accountability. A modern solutio…
Comprehensive guide to hosting PostgreSQL with the pgvector extension, covering provider tradeoffs, migration strategies, and performance tuning for vector workloads. It compares fully managed provide…