Framework · 2023–now · AI Present
LLM app frameworks
Chains, agents, and prompt wrappers shipping weekly. The durable pieces will be boring: evals, retrieval, and product UX.
LLM frameworks mutate weekly because the models underneath change faster than semver. The fad is treating prompt glue as architecture. What sticks will look like observability and eval pipelines, not chain-of-thought cosplay.
Case studies
Patterns
Context
The stack gets a co-pilot
AI pair programming is already changing how code is written. Agent frameworks and vector stores are still sorting winners from demos. The durable layer will look familiar: evals, retrieval quality, product UX, and ownership. Autopilot rewrites without tests are just big-bang migrations with better slides.
Compare with
Related
Platform · 2022–now
Vector DB gold rush
Specialized stores for embeddings. Many workloads are folding back into Postgres extensions — after the vendor tour.
Language · 1991–now
Python
From scripting glue to the default language of data and AI. Readability as a growth strategy.
Practice · 2021–now
AI pair programming
Autocomplete that actually understands the file. Changing how code is written faster than how it's reviewed.