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dirac-run
dirac
TypeScript2026–2026
dirac-run / dirac

dirac

Coding Agent singularly focused efficiency and context curation. Reduces API costs by 50-80% vs other agent AND improves the code quality at the same time. Uses Hash Anchored edits, massively parallel operations, AST manipulation and many many other optimizations. https://dirac.run/

AI & Machine LearningTesting & Quality
Explore on GitHubRead Hacker News discussions
4Distinct people
20Mentions
0Explicit recommenders
1.6KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Coding Agent singularly focused efficiency and context curation. Reduces API costs by 50-80% vs other agent AND improves the code quality at the same time. Uses Hash Anchored edits, massively parallel operations, AST manipulation and many many other optimizations. https://dirac.run/

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 3:30:57 AM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by week20 dated mentions

Observed mentions: 2026-04-09 12:06:08 UTC to 2026-09-11 12:55:23 UTC. Weeks start Monday, UTC.

02462026-04-06 00:00:00 UTC to 2026-04-13 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 commentsApr 62026-04-13 00:00:00 UTC to 2026-04-20 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-04-20 00:00:00 UTC to 2026-04-27 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2026-04-27 00:00:00 UTC to 2026-05-04 00:00:00 UTC (exclusive): 7 mentions; 1 submissions, 6 comments2026-05-04 00:00:00 UTC to 2026-05-11 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-05-11 00:00:00 UTC to 2026-05-18 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2026-05-18 00:00:00 UTC to 2026-05-25 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-05-25 00:00:00 UTC to 2026-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-06-01 00:00:00 UTC to 2026-06-08 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-06-08 00:00:00 UTC to 2026-06-15 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2026-06-15 00:00:00 UTC to 2026-06-22 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-06-22 00:00:00 UTC to 2026-06-29 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJun 222026-06-29 00:00:00 UTC to 2026-07-06 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-07-06 00:00:00 UTC to 2026-07-13 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2026-07-13 00:00:00 UTC to 2026-07-20 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-07-20 00:00:00 UTC to 2026-07-27 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-07-27 00:00:00 UTC to 2026-08-03 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-08-03 00:00:00 UTC to 2026-08-10 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2026-08-10 00:00:00 UTC to 2026-08-17 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-08-17 00:00:00 UTC to 2026-08-24 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2026-08-24 00:00:00 UTC to 2026-08-31 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-08-31 00:00:00 UTC to 2026-09-07 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2026-09-07 00:00:00 UTC to 2026-09-14 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsSep 7

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Apr 62026-04-06 00:00:00 UTC2026-04-13 00:00:00 UTC211
Apr 132026-04-13 00:00:00 UTC2026-04-20 00:00:00 UTC000
Apr 202026-04-20 00:00:00 UTC2026-04-27 00:00:00 UTC101
Apr 272026-04-27 00:00:00 UTC2026-05-04 00:00:00 UTC716
May 42026-05-04 00:00:00 UTC2026-05-11 00:00:00 UTC000
May 112026-05-11 00:00:00 UTC2026-05-18 00:00:00 UTC202
May 182026-05-18 00:00:00 UTC2026-05-25 00:00:00 UTC000
May 252026-05-25 00:00:00 UTC2026-06-01 00:00:00 UTC000
Jun 12026-06-01 00:00:00 UTC2026-06-08 00:00:00 UTC000
Jun 82026-06-08 00:00:00 UTC2026-06-15 00:00:00 UTC101
Jun 152026-06-15 00:00:00 UTC2026-06-22 00:00:00 UTC000
Jun 222026-06-22 00:00:00 UTC2026-06-29 00:00:00 UTC101
Jun 292026-06-29 00:00:00 UTC2026-07-06 00:00:00 UTC000
Jul 62026-07-06 00:00:00 UTC2026-07-13 00:00:00 UTC202
Jul 132026-07-13 00:00:00 UTC2026-07-20 00:00:00 UTC000
Jul 202026-07-20 00:00:00 UTC2026-07-27 00:00:00 UTC000
Jul 272026-07-27 00:00:00 UTC2026-08-03 00:00:00 UTC000
Aug 32026-08-03 00:00:00 UTC2026-08-10 00:00:00 UTC110
Aug 102026-08-10 00:00:00 UTC2026-08-17 00:00:00 UTC000
Aug 172026-08-17 00:00:00 UTC2026-08-24 00:00:00 UTC101
Aug 242026-08-24 00:00:00 UTC2026-08-31 00:00:00 UTC000
Aug 312026-08-31 00:00:00 UTC2026-09-07 00:00:00 UTC101
Sep 72026-09-07 00:00:00 UTC2026-09-14 00:00:00 UTC101

What Hacker News says

2 sources
GodelNumbering·Jul 12, 2026
It is not the raw prompt size that matters ultimately, otherwise Pi (and variants) would be the lowest costing agents. What matters is how efficient the prompt it. Prompt minimalism often gets conflated with efficiency. Having said that, CC does seem bloated for what it does. What matters even more is tooling quality. Bad/buggy tooling causes a lot more roundtrips that wipes out all gains from initial greedy approach. A few months ago, I did a full benchmark run of 7 agents over 8 tasks (https://github.com/dirac-run/dirac has the data and traces). I cannot claim neutrality because of the obvious connection to one of those, but the data should be reproducible and useful. Importantly, Dirac wins there significantly on those tasks because they are mostly refactoring related (which is where approaches like hash-anchoring and AST parsing tend
Read the rest
to shine)
In Claude Code sends 33k tokens before reading the prompt; OpenCode sends 7k

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