Trust Your Team's Domain Knowledge, Not an AI Memory Database
A lot of AI tools now ship “memory”: the assistant quietly writes facts about you, your project, or your team into a database, then pulls them back into later conversations. It ...
NeatContext Blog
Thoughts and product updates from the NeatContext team.
A lot of AI tools now ship “memory”: the assistant quietly writes facts about you, your project, or your team into a database, then pulls them back into later conversations. It ...
Long conversations with an AI run into a real wall: the context window fills up. Once that happens, the chat has to be compacted — older messages get quietly summarized away jus...
If your team has tried an AI-powered SRE agent, you have probably felt the gap. The demo was impressive. Then a real incident happened, you asked it what was going on, and the a...
Most teams that adopt an AI coding or operations assistant reach the same conclusion we did: the model is rarely the bottleneck. The bottleneck is context. A capable model with ...
A recent discussion raised a sensible idea for AI-assisted engineering: make the organization’s code and domain material broadly available to the AI, then use a local model tail...
For the past year, our platform engineering team chased the ultimate infrastructure dream: a fully autonomous, AI-driven Site Reliability Engineering (SRE) agent. We integrated ...
AI is changing how engineering teams think about operations.