Vibe Coding Is Gambling, Eval-Ops Is the House
Published on 10.05.2026
Vibe Coding is Gambling
TLDR: AI coding tools are productivity multipliers, but a new essay argues they also create a psychological dependency loop that turns development into something closer to slot machine behavior. The dopamine hit of watching code appear without effort is real, and it has consequences.
How to Evaluate STT for Voice Agents in Production
TLDR: Most speech-to-text benchmarks are optimized for clean audio in academic settings, which tells you almost nothing about how a system will perform when a user is talking to your voice agent from a coffee shop. This piece from Speechmatics lays out what actually matters in production.
How to Evaluate STT for Voice Agents in Production
MCP Servers Are a Supply Chain You Have Not Inventoried Yet
TLDR: Model Context Protocol servers are becoming the new plugin ecosystem for AI applications, and most teams treating them as just configuration are not thinking about the attack surface they are introducing. This piece argues they need to be treated as a supply chain.
MCP Servers Are a Supply Chain You Have Not Inventoried Yet
The Era of "Vibe Checking" AI is Over: Welcome to Eval-Ops
TLDR: The early days of AI development were characterized by informal quality checks, prompting the model and eyeballing the output. A Google Tech Lead argues that phase is over and that systematic evaluation operations, Eval-Ops, is now necessary infrastructure for any serious AI application.
The Era of "Vibe Checking" AI is Over: Welcome to Eval-Ops
How to Build Production-Ready Agentic AI Systems with TypeScript
TLDR: An engineering manager with thirteen years of experience lays out the specific patterns and failure modes that separate agentic AI prototypes from systems you can actually run in production with TypeScript.
How to Build Production-Ready Agentic AI Systems with TypeScript
Claude Managed Agents: Build a GitHub Repo Review Agent Without Running Infrastructure
TLDR: Anthropic's Claude managed agents let you build and run agent workflows without provisioning servers, queues, or orchestration infrastructure. This walkthrough shows how to build a GitHub repository review agent using the approach.
Claude Managed Agents: Build a GitHub Repo Review Agent Without Running Infrastructure
How to Survive the Agentic AI Era
TLDR: An OWASP project lead argues that surviving the shift to agentic AI is less about learning new tools and more about developing a different mental model for how software systems fail and how humans fit into automated decision chains.
How to Survive the Agentic AI Era
The Case for Local AI Has Never Been Stronger
TLDR: Between improving local model quality, privacy concerns with cloud AI, and the emergence of tooling like Ollama that makes running models locally genuinely practical, the argument for keeping AI workloads off the cloud is stronger than ever.
The Case for Local AI Has Never Been Stronger
The IDE Isn't Dead!
TLDR: As agentic engineering platforms emerge and promise to replace traditional IDEs, Kilo Code argues that the IDE is not dying, it is evolving, and the distinction between "IDE" and "agentic platform" is becoming a marketing decision more than a technical one.
How to Reduce Interface Localization Time with Figma Variables
TLDR: Figma Variables, when applied to localization workflows, can substantially reduce the time spent manually swapping text across design components, with a practical approach that keeps designs in sync with translation updates.
How to Reduce Interface Localization Time with Figma Variables