Tu

Turn repeated coding-agent corrections into rules/skills

Hacker News

Turn repeated coding-agent corrections into rules/skills

Hi HN, Peder here. My cofounder and I built Blume after coding agents ate our previous startup. While building our previous product we severely struggled with agent drift. Duplicated functions, incoherent architecture and sneaky production bugs. Worst being Fable, which writes such good looking code that you almost don’t notice deviant behaviour. We tried to enforce behaviour with all the best practices: rules, skills, docs, self-verification/testing etc. But they rotted faster than a human can maintain them, and using agents directly to maintain them just leads to bloat and more drift. So that is what we set out to solve. Blume is a desktop app that sits next to Claude Code, Codex and Cursor. It reads your agents' context setup (skills, rules, docs) and local session files. When you keep correcting the same things, blume proposes updates to your rules and skills as reviewable diffs. You approve or dismiss each one. To avoid bloat we extract intent, corrections, frustrations from agent sessions and group them into clusters. And when pain/recurrence thresholds are reached, only then an agent is sent to look for improvements. Analysis runs locally on your machine, using your local Claude Code or Codex harness. Your sessions/code are never sent to blume. It is free to use, with the only “cost” being limited token spend to extract signals and creating the improvements themselves. (We plan to monetise with optional cloud agents and team features going forward). The biggest gap in the product right now is that we don't yet measure whether an accepted change actually helped, in fewer corrections or fewer tokens spent re-explaining. We're working on that and think it's a core part of the product. Would love feedback, especially from anyone who's tried to keep agent rules/skills maintained across a team. Happy to answer anything about how it works.

Share card

Actual performance

3points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: mac, agents, agent · Missing: macos, model, apple
99%99% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
83%83% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Blume.codes
Blume.codes88%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Turns coding agent sessions into better rules and skills

Product Hunt+109Development
Se
See if bloated 'skills' are degrading your coding agent's performance45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

See if bloated 'skills' are degrading your coding agent's performance

Hacker News1
Be
Bestie, a coding agent that respects you59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bestie, a coding agent that respects you

Hacker News5
Ba
Bailout – The coding agent meant to be deleted53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bailout – The coding agent meant to be deleted

Hacker News2
Pr
Premortem, a coding-agent-powered airplane blackbox70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Premortem, a coding-agent-powered airplane blackbox

Hacker News3
Skills Agentes
Skills Agentes68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find the skill your coding agent needs.

Product Hunt+4
Ullbek
Ullbek87%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Website Coding Agent

Product Hunt+3
Be
Beating GPT5.5-xhigh for Coding agent security with SLMs and IRM32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Beating GPT5.5-xhigh for Coding agent security with SLMs and IRM

Hacker News9
Ha
Hazzel – terminal coding agent, BYOK, undo-everything56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hazzel – terminal coding agent, BYOK, undo-everything

Hacker News2
Neurogrid TUI
Neurogrid TUI89%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Neurogrid terminal coding agent

Product Hunt+1