AIQB
TutorialsOrdinary

Here’s the trust layer I built to prevent AI's mistakes

Source: DEV Community·

Summary

The moment I stopped trusting the agent I built a trading agent. It worked in backtests. Clean...
CategoryAI Tutorials & Practice
TierOrdinary
Published
Indexed by AIQB
SourceDEV Community
AIQB record IDintel-5225df41fc945e202345f521
Read original source ↗More Tutorials

Related stories

Matched by category, entity tags and source

TutorialsOrdinary
GiveRoute — Stop Dumping Donations, Route What’s Actually Needed
This is a submission for Weekend Challenge: Generosity Edition What I Built Anyone who...
Source: DEV Community
TutorialsOrdinary
Harness Engineering: Designing the Runtime Capability Envelope Around an Agent
"Please be careful" is not a security control An agent at a Fortune 500 financial services...
Source: DEV Community
TutorialsOrdinary
Four versions of one translate() function
I build Connexa, a chat product for cross-language teams: you write Chinese, your teammate reads...
Source: DEV Community
TutorialsOrdinary
Intesta: an attested fact registry that AI agents query through MCP instead of scraping stale pages
AI agents already answer questions about small businesses. Most of the time they do it from stale...
Source: DEV Community
TutorialsOrdinary
Make Your Code Review Agent Write Down How the Bug Actually Happens
My review agent turned a 1,000-line feature into 4,000 lines by flagging attacks that could never happen. One required field in every finding fixed it.
Source: DEV Community
TutorialsOrdinary
Breeze v2: An AI-First Go Framework Built for MCP, Agents, and Distributed Systems
What if your backend wasn't just built for humans and services — but for AI agents too? That's the...
Source: DEV Community
TutorialsOrdinary
Dev log #20 Deleting 180k lines and chasing socket leaks: A week in the OSS trenches
Yash K Saini — Engineer, building in public — AI/ML, low-level (Rust/C/C++), and open source. GitHub...
Source: DEV Community
TutorialsOrdinary
AI Can Write Your Code. But Can You Explain What It Wrote?
We’re entering an era where producing code is becoming easier. Understanding what we produce may be...
Source: DEV Community
TutorialsOrdinary
How to Run an AI Model on Almost Any Hardware: A Practical Guide to Tiny Local LLMs
This month a developer ran a working language model on a Sony PSP-2000. That is a 333 MHz MIPS...
Source: DEV Community
TutorialsOrdinary
vincent v0.8.0: From Agent Conversations to Durable Workflows
I've released vincent v0.8.0, and this release pushes the project much further toward the workflow...
Source: DEV Community