WeSearch
Show HN: D-Engine – deterministic LLM code edits, 42× fewer tokens than an agent

Show HN: D-Engine – deterministic LLM code edits, 42× fewer tokens than an agent

·2 min read · 0 reactions · 0 comments · 9 views
More from GitHub ai Compare coverage Trending Talk Blindspots Daily Sources Live wire
TL;DR · WeSearch summary

The model proposes SEARCH/REPLACE blocks; a local runtime applies them in a shadow git worktree, checks the result with tsc --noEmit, and merges only if compilation passes. D-Engine removes the loop for the bounded-edit case: one prompt, one patch set, one deterministic gate. Same task, same model (V4.1-Flash), same literal prompt: Runtime Tokens Time D-Engine v0.2.2 2,552 ~4 s dsh Minimal (single shell tool) 34,600 1m04s dsh, effort off 37,100 6 s dsh factory defaults (thinking High) 107,000 28 s The toolbox is not the cost — the agentic loop is.

Key facts
About this source

Hacker News (AI / LLM) files mainly under ai. We currently carry 7,218 of its stories.

Original article
GitHub
Read full at GitHub →

Story provenance

Source · retrieval · rights · ranking — open for full record
inspect →

Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.

Record

Original publisherGitHub
Canonical URLhttps://github.com/corruchaga/D-Engine
Publication timeThu, 01 Oct 2026 18:52:26 +0000
Retrieval time2026-10-01T19:12:21.143Z
Last seen2026-10-01T19:12:21.143Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
Cluster5PSQQTjym5wM · 1 stories
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

Rights status (four layers)

Publisher-declared
No publisher-confirmed rights record for this source yet.
Machine-readable
No source-specific machine-readable restriction detected beyond the public feed.
WeSearch interpretation
WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.
Unknown
Retrieval and training permissions are not asserted unless the publisher confirms them.

WeSearch handling by dimension

Indexing May the item be indexed (stored, ranked, made findable)? Allowed
Snippet May a short excerpt of the publisher's text be shown? Allowed
AI summary May WeSearch generate its own short summary of the article? Limited
Retrieval / RAG May the content be exposed for third-party retrieval-augmented generation? Not asserted
Model training May the content be used to train AI models? Not asserted
Commercial reuse May the content be reused commercially? Not permitted

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

D-Engine The AI thinks, the gate decides. A deterministic harness for LLM code edits. The model proposes SEARCH/REPLACE blocks; a local runtime applies them in a shadow git worktree, checks the result with tsc --noEmit, and merges only if compilation passes. The LLM never writes to your real branch. 📄 Read the full story: The AI thinks, the gate decides — how I made LLM code edits deterministic (42× fewer tokens) 🇪🇸 README en español Why Agentic coding loops pay their token bill twice: every turn re-sends the whole trajectory (files, tool results, reasoning) to the model, and "thinking" modes multiply both the tokens per turn and the number of turns. D-Engine removes the loop for the bounded-edit case: one prompt, one patch set, one deterministic gate.

…

Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.

Anonymous · no account needed
Share 𝕏 Facebook Reddit LinkedIn Threads WhatsApp Bluesky Mastodon Email

Discussion

0 comments

More from GitHub