AI will fundamentally change programming despite personal preferences for traditional coding or concerns about economic impacts.

AI researchers now accept LLMs aren't just "stochastic parrots." Chain-of-thought reasoning improves outputs through internal search and RL.

Redis developer shares advanced insights on optimizing HNSW vector search for low-latency performance after a year of implementation work.

AI systems have rapidly achieved abilities once thought impossible, like understanding language and finding code bugs, with future progress uncertain but likely to continue.

LLMs like Gemini 2.5 PRO amplify coding by catching bugs pre-release, rapidly prototyping ideas, and enabling AI pair programming with expert-level knowledge.