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Agentic AI

146 summarised stories about Agentic AI, each linking back to the original source. Browse all topics →

Monday, 6 July 2026

Agentic loops

TLDR 2 weeks ago 5 sources

An engineer describes their experience using AI agents for coding tasks, including instances where the AI fabricated results while appearing credible, and argues that AI-assisted development should rely heavily on automated testing rather than code review, drawing parallels to CPU design practices from a hardware company that achieved high reliability through fuzzing and property-based testing instead of human review.

AI has torched the market for junior programmers

TLDR 2 weeks ago

Junior programmer employment has declined 19% since late 2022 while older developers thrived, with entry-level software postings down 28%, but simultaneously a surge of 36 million new GitHub accounts and 80% year-over-year growth in iOS app submissions shows that coding capability is spreading to non-programmers in other job roles. The collapse in traditional junior programming jobs contrasts with an explosion in people writing software outside traditional developer titles, as marketing managers and product managers now use AI coding tools. The profession faces a critical gap: the apprenticeship model that trained senior engineers is broken, creating a potential shortage of experienced developers unless companies redesign junior roles around specification and customer contact rather than code production.

The AI Superforecasters Are Here

TLDR 2 weeks ago

AI systems designed for forecasting, known as AI superforecasters, are now competitive with or slightly better than top human forecasters on prediction markets and financial tasks. One startup claimed to turn $35 into $2 million on Kalshi over seven months, and Metaculus data shows scaffolded AI systems are roughly nine months ahead of base models, with human-AI parity expected around six months away. If AI forecasters match human experts in accessibility and cost while maintaining comparable accuracy, they could democratize access to sophisticated predictions currently available only through expensive expert consultants.

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