AIQB
TutorialsOrdinary

I built a lie detector for AI coding agents. Then I read the rules.

Source: DEV Community·

Summary

When an AI agent commits a change to code, it makes a claim about what it changed: "fixed typos" or...
CategoryAI Tutorials & Practice
TierOrdinary
Published
Indexed by AIQB
SourceDEV Community
AIQB record IDintel-ab012b2894776d006a95fe51
Read original source ↗More Tutorials

Related stories

Matched by category, entity tags and source

TutorialsOrdinary
I Vibe-Coded My Way Out of Angular Upgrades
Do you also hate upgrading Angular versions? Because I do. I maintain a few open-source projects, and...
Source: DEV Community
TutorialsOrdinary
Gemma 4's MTP Drafter, Explained: Speculative Decoding and a 4-Bit Drafter at 60% of the Size
What speculative decoding is, how Gemma 4's multi-token prediction drafter rides on the main model, why you would add one, and an exact Q4_0 repack of Google's QAT drafters on Hugging Face that cuts the file to 60% of the size and the memo…
Source: DEV Community · Hugging Face
TutorialsOrdinary
AI Engineering Is Easy. So How Do We Change How We Work?
In Part 1, I wrote about the uncomfortable part of AI-assisted engineering: the tools are becoming...
Source: DEV Community
TutorialsOrdinary
Requests, Promises, Assertions, and Declarations: Rewriting Our AI Agent Workflow as a 1986 'Committed Speech' Machine
Why do 200-line agent prompts, Asimov's Three Laws, and sequential pre-landing checklists all fail the same way? How Fernando Flores's 1986 Committed Speech, Nuel Belnap's 1977 4-Valued Logic, and Tony Hoare's 1978 CSP turned our Makefile …
Source: DEV Community
TutorialsOrdinary
I built an AI that writes resale listings — then refuses to publish the ones it can't prove
My entry for the Hacktoberfest Open-Source AI Challenge, Week 2 (Side Hustle). A reseller I know got...
Source: DEV Community
TutorialsOrdinary
A Data Company in an AI World
Anekha Sokhal spent nearly a decade trading energy derivatives at JP Morgan, then came to the US on a...
Source: DEV Community
TutorialsOrdinary
The AI Data Paradox: The Safer You Make the Data, the Worse the AI Gets
AI engineers spend enormous amounts of time tweaking small things to achieve bigger gains. Energy is...
Source: DEV Community
TutorialsOrdinary
An Agent’s Plan Isn’t Permission
When a coding agent investigates a production bug, it might need to read a repository, query logs,...
Source: DEV Community
TutorialsOrdinary
Inside the $30-a-Week Self-Improving Agents Eliminating Enterprise Back-Office Friction
In the high-stakes world of enterprise AI engineering, the default assumption is that reliability...
Source: DEV Community
TutorialsOrdinary
Building Better Agents through End-to-End Evals
Deeply understand the task at hand The biggest mistake teams make with agents is...
Source: DEV Community