The impact of AI on software engineers in 2026: key trends
Aren’t companies firing employees to manage rising AI costs, among other things?
Aren’t companies firing employees to manage rising AI costs, among other things?
Nothing earth-shaking, TBH. Spotify’s release process is mature and grounded but resembles how releases are contemporarily done in most large product orgs. At Deel, we had a strikingly similar GTM process for new features.
On a good day, I nail my introduction and come out impressively. Sadly, good days are far and few. Steve’s advice to write down your introduction to be always prepared sounds pragmatic. This is going in my urgent TODO!
Searching by intent (aka semantic search) is the antithesis of searching by keywords. Amazon’s semantic search solution is pretty amazing at how it leverages mega LLMs to (a) build knowledge graph to serve known queries, and (b) create smaller LLMs for generative responses to serve never-before-seen queries.
AI token usage in performance reviews? Seriously?!
Career growth in 2 sentences - ‘Your company will never tell you that you’ve gotten too comfortable because they benefit from your comfort. You have to be the one who notices it and breaks out of it.’
Introducing AI agents in a classic RAG search pipeline lends it the ability to think, reason, and decide whether the one-shot vector-search results are any good or require refinement. Agentic RAG might also be a good application to learn about agentic systems in general.
Intriguing use of LLM embeddings to link member data and post together for super-fast retrieval in social feeds. And, of course, the use of LLM as semantic search layer is 🆒
Didn’t know GitHub was in such dire waters. But TBH I like Copilot.
Certainty in uncertain times goes a long way in approaching touch situations with calm and clarity.