Tag archive
Umair shares his llm agent flutter ui generation comparison, detailing 5 setups, common failures like RenderFlex overflows, and fixes based on 100+ generated...
The simplest agent that works: spec and tests by hand, the model writes the code, it runs, and the failure feeds back as context. A complete write-test-fix loop in code that runs.
A single free-tier completion is a coin flip: one call, one unreviewed guess. I split the same cheap...
An 11.9M-parameter transformer scores 83% strict on the domains it trained on and 0/8 on a single unseen noun. Three experiments to find out why, one of which corrected the diagnosis I had already written down, and a zero-parameter mechanism that does the copying 20 times out of 20.
A natural-language app generator whose verification sweep is exhaustive over everything except the part that reads English. The composer scores 100% on 810 cells built from feature sets; the parser that has to produce those feature sets scores 0.70, and nothing prints that number next to the other one.
Battling widget hallucinations with your DeepSeek Harness Flutter coding agent? My custom prompt pattern cuts `ListView.builder` errors by 30%, making your A...
A new system for generating industrial controller code refuses to let the model declare success until the specification, the compiler and a live runtime all independently agree, exposing a wide gap between code that compiles and code that behaves.
This week's tooling landscape is defined by two themes: cost compression on capable models and...
📰 Originally published on Securityelites — AI Red Team Education — the canonical, fully-updated...
Originally published at norvik.tech Introduction Explore how AI's role in code...
What Changed Researchers have introduced PoPE (Popperian Placebo-controlled Evaluation), a...
AI now owns boilerplate, tests, refactors, and docs end to end. Here's the new development lifecycle, what shifts to engineers, and why harness engineering is becoming the new code review.