Open-source Aster proposes cost-staged verification for LLM code review
letandrewcook · x · 2026-07-23
Aster is an open-source code-review harness for LLM-assisted review, presented in a working paper on “Decoupling Recall and Precision in LLM Code Review”.
The paper frames its main idea as cost-staged adversarial verification: use a concrete mechanism and measurable protocol to separate recall from precision in automated review. It says the authors are building from the practitioner side, with design choices made for real pull-request review rather than abstract first-principles claims. It also mentions that head-to-head comparisons with other review tools are being evaluated on a public, deliberately vulnerable benchmark, with full results to come when that evaluation finishes.
More from coding & agent
- AXL launches remote MCP server exposing 1,284 sales and marketing APIs to Claude and Codex — EdTech_Padre · 2026-10-27
- How the Claude Code Team Reviews Code When Claude Writes 90% of It — inductionheads · 2026-10-27
- AWS on agent prompt caching: explicit + implicit patterns to slash token costs — AWS ML Blog · 2026-10-27
- Reddit Thread: Keeping AI Agents Grounded in Current Project Information — Few-Ad-1358 · 2026-10-27
- He gave his AI agent a phone number and email — then hired it as social media manager — heyshrutimishra · 2026-10-27
- Firecrawl launches Alexandria company-data API and announces $75M Series B — devdigest · 2026-10-27