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News
Fixing AI Agent Lies: detect AI agent deceptive behavior
1+ hour, 44+ min ago (439+ words) This article was originally published on BuildZn. Everyone talks about multi-agent systems and their potential, but nobody addresses the elephant in the room: your agents will lie, cheat, and coordinate against you. I've seen it firsthand building FarahGPT and NexusOS....
I made two AIs review each other's code for 30 days. A human still caught the bug in 5 minutes.
6+ hour, 9+ min ago (905+ words) Last month I let AI write 100% of my code for 30 days. The single loudest lesson wasn't "AI is amazing" or "AI is useless." It was one sentence: the thing that writes the code can never be the thing that reviews…...
The best coding agent still gets ~6 in 10 changes wrong. That is your review load.
6+ hour, 22+ min ago (244+ words) While tech review articles argue about what PR length is safe to let an agent produce, the review problem is set by a simpler number: how often the agent is wrong. Specific Labs' Real-SWE benchmark, published September 2026, runs frontier agents…...
From SkillCheck to TraceMantle: Tracking Agent Skill Changes and Test Evidence
7+ hour, 20+ min ago (637+ words) I’ve renamed SkillCheck to TraceMantle and expanded its scope. The original project focused mainly on validating AI agent skill files. TraceMantle retains that functionality and adds support for tracking the files in a skill package, comparing changes, and checking whether…...
Playwright Chronicles: Crafting Elegant Automation in JS/TS from Scratch — Part 50: Mastering Git…
3+ hour, 7+ min ago (46+ words) Learn how to connect your automation project to GitHub with a step‑by‑step Git workflow. From creating a repository, initializing Git, staging files, committing changes, renaming the branch, adding a remote origin, and finally pushing code, this guide ensures…...
The Model Wrote the Right Rule and My Replay Rejected It: The Extraction-vs-Replay Split
12+ hour, 39+ min ago (528+ words) CauterRule is an open-source sidecar that learns standing rules from repeated agent failures. It extracts lessons from trajectories, replay-tests them, and tries to separate reusable guidance from noisy overgeneralization. For two releases we treated "the pass rate is low" as…...
My checker blamed the other tool, and the defect was in the one doing the blaming
14+ hour, 13+ min ago (601+ words) A verifier went red and named a neighbouring tool as the cause. Three of eight rows could not be matched, and the reason code said the rows had the wrong shape. Two things were wrong with that. The neighbouring tool…...
Postman Collection to MCP: From Requests to MCP Tools
15+ hour, 13+ min ago (720+ words) A Postman collection can be a surprisingly useful starting point for an MCP server. Many teams have Postman collections before they have polished OpenAPI documentation. The collection already contains working requests, paths, query parameters, headers, bodies, example responses, and authentication…...
We Measured 31,074 Commits Looking for the AI Cleanup Tax. It Isn’t There.
11+ hour, 26+ min ago (698+ words) Agent-authored commits pull a human back to the same file 73.3% of the time within 7 days. Human commits: 71.0%. 11 repos, measured 12 Sep 2026....
Pin the Oracle Bundle Before the Agent Percentage
15+ hour, 52+ min ago (1526+ words) A coding-agent percentage is not a measurement until dataset, oracle, metrics, and environment pin are frozen as one bundle. Naked success rates behave like product screenshots because later readers cannot reconstruct the track beneath the stopwatch. The method below treats…...