AI agents can read and modify legacy code, but missing business context makes autonomous maintenance far riskier than it ...

A practical design for sales-call scoring that ties every rating to transcript evidence, manager review, and the next rep ...

AI coding agents can write and validate software, but who owns the outcome? Exploring behaviour provenance, change ledgers, ...

How can a startup build credibility without a track record? Discover why documenting real achievements is the first step ...

A builder's field report on running AI agents in production for six months: what breaks, what it costs, and the ...

Why does AI cost more in Hindi and Tamil? Discover the tokenizer tax and the hidden challenges of building multilingual AI ...

A real edge decays gently when you lag your entries. An overfit one collapses. Delay every signal by five days and see what's ...

Explore the reasons why we rewrote this popular version manager, why we focus on security, and why there are two builds.

DHH advocates vibe coding without review, but is there enough evidence to trust AI-generated software over the long term?

How voters, communities and elected representatives can shape data centre regulation and make AI infrastructure work in the ...

Give one agent the same token budget and most multi-agent gains vanish. A worked five-agent pipeline, its token bill, and one test for adding a second agent.

We tested how parallel coding agents share decisions, handle code handoffs, and merge changes. Coordination improved ...