Recent posts tagged quality

Valentine Shimanovsky • Aug 15 • in Articles • 1 min read
The article linked herehttps://calnewport.com/on-ai-coding-and-its-discontents/ describes a telling case: a senior developer discovers that Claude Code reduced the time needed to complete a task from a week to just two days. However, later on, the ge...
  • agenticai
  • software-engineering
  • quality
Themis Angelopoulos • Jul 4 • in Articles • 13 min read
Your multi-agent system optimizes each step independently. Step-by-step cost minimization. But local optima destroy global efficiency. Save €0.10 per step, spend €100 extra total. I built a QualityControllerAgent that evaluates full workflow paths be...
post-cover-21894
  • ai
  • quality
Alex • Jun 24 • in Articles • 8 min read
> Canonical: originally published at vibeagentmaking.comhttps://vibeagentmaking.com/blog/our-quality-scores-were-precise-useless-and-identical/. In the summer of 1978, Robert Parker Jr., a lawyer from Monkton, Maryland, published the first issue of ...
  • engineering
  • management
  • evaluation
  • quality
aman-bhandari • Apr 20 • in Articles • 6 min read
QA gets stereotyped into a clicker-of-buttons role: open the app, walk the flow, file a Jira ticket when something looks wrong. That caricature is what junior QA looks like at companies that have not yet figured out what QA is actually for. The role ...
  • career
  • software-quality
  • quality
  • aiagents
onchainintel • Apr 18 • in Articles • 5 min read
Most teams are getting 10 to 30% of what their LLM model can actually do.Not because the model is weak. Because the prompt is. I’ve spent the last two weeks scoring prompts. Real ones, from real builders, across real verticals, against an 8-dimensio...
post-cover-15136
  • prompt-engineering
  • ai
  • prompts
  • quality
onchainintel • Apr 16 • in Articles • 3 min read
Everyone in AI circles eventually discovers the Magic Prompt Formula. If you haven't, here it is. It's the most widely shared structured approach to prompting, and it genuinely works. The formula has five parts: -Role Who: Assign a specific expert ...
post-cover-14939
  • ai
  • prompt-engineering
  • quality
  • prompts
onchainintel • Apr 10 • in Articles • 3 min read
Most developers treat prompt quality like they treated code quality before linters existed — you find out it's bad when it breaks, not before. That's the AI 'input quality' problem. And it's costing you more than you think. The Problem You write a...
post-cover-14428
  • ai
  • prompt-engineering
  • analysis
  • quality
onchainintel • Apr 10 • in Articles • 2 min read
Originally posted on Paragraph on April 8, 20261. How to score your AI prompts before they hit the model and why 'input quality' is the layer every AI workflow is missing. Here's how to find out in 30 seconds using http://pqs.onchainintel.net I to...
post-cover-14416
  • ai
  • prompt-engineering
  • prompts
  • quality
Tom Smithverified • 21 hours • in Articles • 9 min read
Security dominated this week, but not in the usual way. Two active campaigns turned GitHub configuration files into attack surfaces. Researchers demonstrated that the built-in browsers inside AI coding tools can read your SSH keys. And at Oracle AI ...
post-cover-33104
  • agenticai
  • devsecops
  • github
  • localai
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