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Topic

AI Code Generation

Agentic and model-driven generation of software, and the question of what acceptance test — plausibility versus proof — governs generated code.

Current stories

buildOne report1 publisher

A review packet gates generated diffs on two of its five file buckets

A dev.to architecture review puts the boundary for code-generating agents at the sandbox, with each run emitting one patch and one JSON packet and a human gate that fires only on CI and infrastructure paths. The author calls the code a proposal.

Publishers:dev.to

Reality

Evidence50
Adoption
Insufficient
Hype gap+10
Incentives70
Confidence60
buildOne report1 publisher

A generated read-then-write lets both requests spend the same balance

A dev.to walkthrough of AI-written Firebase code argues the dangerous defects sit in the architecture, and its examples are a balance update two concurrent requests can both pass and a rule that admits any signed-in user.

Publishers:dev.to

Reality

Evidence34
Adoption
Insufficient
Hype gap+22
Incentives
Insufficient
Confidence46