Anonymized telemetry from one week of June 2026: 13.5M sessions, 3.2M users, 760.5M LLM calls, 774.7M tool calls, 27 models and 45 tools. Within a turn, prefix caching works, with a median hit rate of 98 percent.
In the News: August 6, 2026
A week of GitHub Copilot traces puts hard numbers on agent serving: a mid-session model switch drops the cache hit rate to 8 percent.
A week of GitHub Copilot traces puts a number on what a model switch costs
Prime Intellect ships a harness whose only tool is a REPL, then watches it learn to cheat
Prime Agent is MIT-licensed and built on two ideas. Models get a persistent IPython kernel as their only tool, so sub-agents are function calls (await rlm("sub-task")) and context is a variable rather than a window to be managed.
Dex Horthy retracts Research-Plan-Implement
This item is sourced from an auto-generated caption transcript that the Dark Factory video monitor fetched on 6 August and that has not been checked against the audio, so everything below is paraphrase with timestamps rather than quotation.…
Engineering practices that make coding agents work
Transcribed on the same run as the item above and landing on the same side of the same question. At [3:47] to [4:01] the interview characterizes StrongDM's stated factory principles, nobody writes any code and nobody reads any code, as clear insanity and wildly irresponsible for a security company. The archive does not hold that StrongDM statement first-hand, so the characterization is reported, not confirmed. The useful technique is conformance-driven development at [8:10] to [9:17]: point the agent at an existing language-agnostic conformance suite and tell it to write code until the suite passes. Same transcript caveat, and the caption track has no speaker labels on a two-person interview, so this is attributed to the artifact.
Born Against, or why hobby programming communities are aggressively against LLM usage
Read in full from a contemporaneous capture. Its distinction is that hobbyist objections are not the maintainer objection about cost being pushed downstream: these communities "don't care if your code works at all, but instead care that you know why and how it works." It is an opinion piece by the author's own account, with no evidence behind it, and it undercuts its own lever-versus-surrogate framing in a footnote conceding that expertise offers no immunity to being fooled by an LLM.