aidlc-issue-report
Skill5.9k starsChanged 18 days agoMIT-0View on GitHub
When something went wrong while running AI-DLC, gather what the run left behind on this machine (AI-DLC's audit record and state, hook health, AI-DLC doctor, the chat logs of Kiro, Claude Code, Codex or Copilot for this project) into one folder, with personal, company and project details replaced by labels, for the person to send to the AI-DLC team, who analyse it. It does not diagnose anything itself. Use it when the person says "이슈 보고서 만들어줘", "AI-DLC 가 이상했어 정리해줘", "aidlc 문제 리포트", "에러 난 거 모아줘", "report an AI-DLC issue", "AI-DLC bug report", "what went wrong with aidlc", even long after the run and even when they cannot say what the problem was.
- Commits and pushes
Adopted by
Steady: 0 new projects took it in the last 4 weeks, none the 4 weeks before.thin data
Who's talking about awslabs/aidlc-workflows
- A Hacker News story“Aidlc: Adaptive workflow steering rules for AI coding agents”Hacker News · Oct 15, 2026 · 29 points
- @pythonhub.dev“aidlc-workflows AI-Driven Life Cycle (AI-DLC) adaptive workflow steering rules for AI coding agents.…”Bluesky · May 21, 2026 · 2 likes
- otomatty/andon-for-aidlc“aidlc-workflows 2.11.3 に対応する”GitHub · Nov 5, 2026 · 1 reactions
- otomatty/andon-for-aidlc“aidlc-workflows 2.11.2 に対応する”GitHub · Oct 30, 2026 · 1 reactions
- @github-trending-js.bsky.social“📦 awslabs / aidlc-workflows ⭐ 4,545 (+45) 🗒 TypeScript AI-Driven Life Cycle (AI-DLC) adaptive workflow …”Bluesky · Sep 11, 2026 · 1 likes
The biggest 5 of 56 mentions linking to the repository that our crawl found. Each line is their own headline.
See all 56
Talked about on GitHub, Bluesky and Hacker News (56 times).
On GitHub · 50
- Nov 5, 2026aidlc-workflows 2.11.3 に対応する — otomatty/andon-for-aidlc1 reaction · 2 comments
- Oct 30, 2026aidlc-workflows 2.11.2 に対応する — otomatty/andon-for-aidlc1 reaction · 3 comments
- Jul 28, 2026追加の参考リポジトリ — ougotti/awesome-copilot-jp1 reaction
- Apr 29, 2026Pull aidlc-workflows v0.1.8 for GitHub Copilot — virtuz/aidlc-template1 reaction · 3 comments
- Nov 6, 2026Instalar o AWS AI-DLC 2.11.3 para orientar o desenvolvimento no Cursor — fazedordecodigo/boto0 reactions
45 more on GitHub
- Nov 4, 2026claude-code-marketplaces.github.awslabs.aidlc-workflows: 2.11.2 → 2.11.3 — sudosubin/agents.nix0 reactions
- Nov 1, 2026Hook and agent contracts for workflow frameworks: project trust, user_prompt_submit, stop, swarm identity, agent definitions — 1jehuang/jcode0 reactions · 1 comment
- Oct 31, 2026AI-DLC v2(2.11.2)を Claude Code 用に入れる — itizawa/wiki0 reactions · 2 comments
- Oct 29, 2026docs(aidlc): #99 감사 잔여 교정 w3-99 -- AIDLC·규제·플랫폼 문서 75건 (KO/EN) — devfloor9/engineering-playbook0 reactions · 1 comment
- Oct 28, 2026claude-code-marketplaces.github.awslabs.aidlc-workflows: 2.11.1 → 2.11.2 — sudosubin/agents.nix0 reactions
- Oct 28, 2026docs(aidlc): #99 감사 교정 -- methodology part 1 AIDLC v0.1.7 정합·MSA/DDD·툴체인 사실 교정 (KO/EN) — devfloor9/engineering-playbook0 reactions
- Oct 28, 2026docs(aidlc): #99 감사 교정 -- enterprise 비용 모델 재산출·거버넌스·EU AI Act·한국 AI법 (KO/EN) — devfloor9/engineering-playbook0 reactions
- Oct 20, 2026claude-code-marketplaces.github.awslabs.aidlc-workflows: 2.11.0 → 2.11.1 — sudosubin/agents.nix0 reactions
- Oct 19, 2026docs(aidlc): #99 감사 교정 -- methodology 2/2 하네스·온톨로지 엔지니어링 (KO/EN) — devfloor9/engineering-playbook0 reactions
- Oct 13, 2026claude-code-marketplaces.github.awslabs.aidlc-workflows: 2.10.0 → 2.11.0 — sudosubin/agents.nix0 reactions
- Oct 12, 2026Release watch: 2026-10-12 — opendiamonds/cloud-3600 reactions
- Oct 12, 2026fix(hooks): record a redacted snippet of the human's words on HUMAN_TURN (#1505) — mdanialqureshi/aidlc-workflows0 reactions
- Oct 12, 2026chore(agent): save uncommitted work from session end — mdanialqureshi/aidlc-workflows0 reactions
- Oct 8, 2026Orchestrator Evaluation — triplem/xeno0 reactions · 6 comments
- Oct 5, 2026Release watch: 2026-10-05 — opendiamonds/cloud-3600 reactions
- Oct 4, 2026claude-code-marketplaces.github.awslabs.aidlc-workflows: init at 2.10.0 — sudosubin/agents.nix0 reactions
- Sep 29, 2026[Candidate] awslabs/aidlc-workflows/harness/codex/skills/aidlc - aidlc — ProSkillsMD/proskills0 reactions · 3 comments
- Sep 29, 2026[Candidate] awslabs/aidlc-workflows/harness/claude/skills/aidlc - aidlc — ProSkillsMD/proskills0 reactions · 1 comment
- Sep 28, 2026Boundary probe: should AI-DLC's review ladder include a deterministic execution-evidence lane? — hippoley/CounterProof0 reactions · 1 comment
- Sep 26, 2026feat(awslabs/aidlc-workflows): add awslabs/aidlc-workflows — aquaproj/aqua-registry0 reactions · 2 comments
- Sep 26, 2026AI-DLCの運用知見を参照し、同じ複雑化の轍を踏まないための原則をIntentへ反映する — e-chigeron/ozum0 reactions · 1 comment
- Sep 21, 2026Release watch: 2026-09-21 — opendiamonds/cloud-3600 reactions
- Sep 14, 2026Release watch: 2026-09-14 — opendiamonds/cloud-3600 reactions
- Sep 12, 2026aidlc-fleet CLI: AIDLC_FLEET_DOCTOR_CMD が upstream の実出力と噛み合わず、実質使える値が無い — hideokamoto-archives/aidlc-fleet0 reactions · 1 comment
- Sep 10, 2026docs: AI-DLC入門・Plans比較・AI駆動手法の用語整理を分割する — ougotti/awesome-copilot-jp0 reactions
- Sep 2, 2026AI DLC v2 — fabriqaai/specs.md0 reactions
- Aug 30, 2026feat: make aidlc-init-codex checkout v2 before copying the Codex distribution — so-vanilla/nixos-configurations0 reactions
- Aug 23, 2026chore: migrate from aidlc-workflows to OpenSpec — mknnjp/luminescence0 reactions
- Aug 20, 2026[RFC]: Autonomous Tracker-Driven Intent Execution — aws-samples/sample-collaborative-ai-dlc0 reactions
- Aug 11, 2026**Feature Request:** `after_assistant_turn` **Hook Trigger for Kiro CLI** — kirodotdev/Kiro0 reactions · 3 comments
- Jul 27, 2026Release watch: 2026-07-27 — opendiamonds/cloud-3600 reactions · 1 comment
- Jul 23, 2026How does this fit in with the AWS awslabs/aidlc-workflows — wilmatos/aidlc-sprint-planning0 reactions
- Jul 9, 2026Tighten gate definitions with AI-DLC-style named human validation loops — nathancrtr/gateline0 reactions · 1 comment
- Jul 1, 2026Добавь AI DLC v2 для Kiro и Claude Code — migh000/twenty0 reactions · 24 comments
- Jun 28, 2026adding ai dlc files from aws aidlc rule — oronno/privateledger0 reactions
- Jun 24, 2026【開発エージェント向け 引き継ぎ / START HERE】AI-DLC で進める拡張開発オンボーディング — trkoh/sketch-stacker0 reactions
- Jun 24, 2026add CodeHealth AI — adaptive codebase analysis workflow — aws-samples/sample-apj-sup-sa0 reactions
- Jun 15, 2026sync: upstream v2 取り込み 2026-06-15 — kobank-t/aidlc-workflows0 reactions
- Jun 10, 2026sync: upstream v2 取り込み 2026-06-10 — kobank-t/aidlc-workflows0 reactions
- Jun 9, 2026sync: upstream v2 取り込み 2026-06-09 — kobank-t/aidlc-workflows0 reactions
- Jun 8, 2026sync: upstream v2 取り込み 2026-06-08 — kobank-t/aidlc-workflows0 reactions
- Jun 5, 2026chore: sync AIDLC rules from upstream — devtx-labs-kr/aidlc-workshop-template0 reactions
- Jun 5, 2026chore: sync AIDLC rules from upstream — devtx-labs-kr/aidlc-brownfield-workshop-template0 reactions
- May 30, 2026sync: upstream v2 取り込み 2026-05-30 — kobank-t/aidlc-workflows0 reactions
- May 29, 2026sync: upstream v2 取り込み 2026-05-29 — kobank-t/aidlc-workflows0 reactions
On Bluesky · 4
- May 21, 2026aidlc-workflows AI-Driven Life Cycle (AI-DLC) adaptive workflow steering rules for AI coding agents.… — @pythonhub.dev2 likes and reposts
- Sep 11, 2026📦 awslabs / aidlc-workflows ⭐ 4,545 (+45) 🗒 TypeScript AI-Driven Life Cycle (AI-DLC) adaptive workflow steering rules for AI coding agents — @github-trending-js.bsky.social1 likes and repost
- Sep 5, 2026📦 awslabs / aidlc-workflows ⭐ 4,339 (+37) 🗒 TypeScript AI-Driven Life Cycle (AI-DLC) adaptive workflow steering rules for AI coding agents — @github-trending-js.bsky.social1 likes and repost · 1 reply
- Mar 1, 2026AWS's AI-DLC repository is evolving rapidly. It has already added support for Claude Code — really excited to see how this evolves.… — @toruiwasa.com1 likes and repost
On Hacker News · 2
- Oct 15, 2026Aidlc: Adaptive workflow steering rules for AI coding agents29 points · 22 comments
- Sep 3, 2026AI-DLC – one core, many harnesses1 point
In this repository18 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- .github/copilot-instructions.mdCopilot instructions
- aidlc-knowledgeSkill
- aidlc-outcomes-packSkill
- aidlc-replaySkill
- aidlc-session-costSkill
- aidlcSkill
- aidlcSkill
- aidlcSkill
- aidlc-jumpSkill
- aidlc-scopeSkill
- aidlcSkill
- aidlc-statusSkill
- aidlcSkill
- aidlcSkill
- aidlcSkill
- aidlcSkill
The file
We split this skill into the rules it gives an agent
10 rules. About 0 are common, 5 are distinctive, and 5 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈5
Distinctive · estimate
This author's own choices. Worth a look.
5
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 32
When nothing they wrote shows a language, use English.
- Distinctive: line 46
Before anything is handed over, a check reads every file in the folder as written and refuses any value that is not what its field's rule …
- Very specific: line 62
Never leave BUN_BE_BUN set in the shell: any aidlc run with it starts Bun instead of AI-DLC.
- Distinctive: line 68
Ask once: "Roughly when did it happen?
- Very specific: line 84
Do not pass --out: the script picks the folder.
- Very specific: line 97
If environment.toolsUsed is empty, no chat log showed which tool the run used (one may have held only this report, or could not be read), …
- Distinctive: line 107
When they name the tool but not its version, run it without writing the file: the tool is recorded, its version unknown.
- Distinctive: line 109
When the person names a company, customer, product or person they want kept out, hide it.
- Very specific: line 118
When it refuses, correct what it names in the file (entries are places in it) and run it again.
- Very specific: line 120
When it lists notHidden, those names (by their place in the file) were not hidden: aidlc-word, the name is part of AI-DLC's own words (Bolt …
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
AI-DLC issue report
The person ran AI-DLC and something went wrong. Their part ends when they send a folder to the AI-DLC team; the
team analyses it on their own machines. Your job is to gather that folder — as much of the run's records as
possible, with nothing that could identify a person, a company or a project. You do not diagnose, rank or explain
what went wrong: the scripts gather and filter, the team reads. You never fix the workflow, never run /aidlc or any
AI-DLC command except the one doctor run below, and never send anything anywhere.
The output is files in a folder, nothing else. Do not open a GitHub issue, a pull request or a comment, do not run
gh, git push or any upload, and do not post to Slack or email — not even when the person asks you to "just file
it". Sending the folder is their decision, made outside this skill.
Speak to the person in short plain sentences. They are not expected to know AI-DLC commands; do not ask them to run any.
Language. This skill is written in English, but you speak the person's language. Detect it from what they wrote to you in this conversation (the request that started the skill, then each reply); if they switch, switch with them. When nothing they wrote shows a language, use English. Every line this skill gives you to say is written here in English: say it in their language, keeping its meaning, not word for word. The folder's files stay in English.
Why the care about privacy
The folder leaves the company. AI-DLC's records are full of the person's own words (requests, answers, feedback), file paths with their name in them, and project content. So the scripts write two layers:
safe.json— the data that is sent. Every value is AI-DLC's own word where its field holds only AI-DLC's words (an event, a stage, an agent, a status), a number, a time or a version; any name the person chose (a Unit, an intent, a file) and anything a person or an agent wrote is a label such as<custom-text-12>, the same value the same label.references/data.mdsays what each part holds.local/— what the labels stand for, and what the check needs. It is never sent and is deleted at the end.
Before anything is handed over, a check reads every file in the folder as written and refuses any value that is not what its field's rule writes, and any line of the cover that holds something which could identify a person, a company or a machine. It does not guess what is safe; it refuses.
Steps
The scripts are in this skill's scripts/ folder (<skill> below is this skill's folder). Each command below starts
with <run>, which runs one of them from any folder:
bun, when it is found;- otherwise (a native AI-DLC install brings no Bun) AI-DLC's own
aidlccommand, withBUN_BE_BUNset for that one command:- macOS, Linux, WSL:
BUN_BE_BUN=1 aidlc <script> … - Windows PowerShell:
& { $env:BUN_BE_BUN = '1'; try { aidlc <script> … } finally { Remove-Item Env:BUN_BE_BUN } } - Windows cmd:
cmd /c "set BUN_BE_BUN=1&& aidlc <script> …"
- macOS, Linux, WSL:
Never leave BUN_BE_BUN set in the shell: any aidlc run with it starts Bun instead of AI-DLC. If aidlc is
not found either (an editor opened before AI-DLC was installed), use the executable named in
~/.local/share/aidlc/active-executable (Windows: %LOCALAPPDATA%\aidlc\active-executable) in its place.
1. When
Ask once: "Roughly when did it happen? It's fine if you don't know." If they already said it, do not ask again.
Turn a time they give ("yesterday afternoon", "this morning") into --since/--until in UTC with Z
(2026-10-17T08:00:00Z), computed from the date you already know — do not run date. Kiro refuses a command whose
argument looks like host:port, and an offset such as +09:00 does (measured on Kiro CLI 2.32.0). Otherwise the
window is the last 7 days before the last AI-DLC activity. What they said does not go into the folder.
2. Collect
Tell them in one line first: "I'll run AI-DLC's diagnostics once. It adds one line to the project's record and
refreshes AI-DLC's memory copy. It does not change your code." Then run (always pass the project folder — the one that
holds aidlc/; when unsure, the folder open in the tool):
<run> <skill>/scripts/collect.ts --project <project folder> [--since <ISO>] [--until <ISO>]Do not pass --out: the script picks the folder. It prints a short JSON with out (the folder,
<project>/aidlc/diagnostics/issue-reports/<time>/, in AI-DLC's own diagnostics folder, which git ignores), what it
gathered, and safeJsonHits: the safe.json fields the check refuses (normally none). Replace each named value in
safe.json with <redacted> — a label always passes — or, where the reason says to remove it, delete that field (that key, for a key a part does not have). When safe.json window.notes says a time was left out, the
default window was used: tell the person in one line. When found.aidlcWords is 0, AI-DLC's own words could not be read
from this install, so every AI-DLC name in the folder is a label: tell the person in one line. If it says no-aidlc-project, ask which folder they ran AI-DLC in.
3. Missing tool versions
safe.json environment.versionsMissing lists the tools this run used whose version could not be found — neither in
the tool's own chat log nor on this machine now. For each one, ask the person once to read it off their screen — never
ask them to run a command. Tell them where it is: Kiro IDE in the Kiro menu → About Kiro (Windows and Linux: Help →
About); a CLI tool in the banner it shows when it starts (Claude Code also in /status). Always offer "I don't know".
If environment.toolsUsed is empty, no chat log showed which tool the run used (one may have held only this report, or could not be read), so ask which AI tool they used together with its version.
Record each answer: write the version as they gave it to <out>/local/version-<key>.json (the <key> of the command)
with your file-writing tool, never in a command ({ "version": "1.4.13" }), then run
<run> <skill>/scripts/set-version.ts --out <out> --tool <key>It accepts only a version-shaped value; when it refuses the value (not-a-version), or the person does not know, move
on — do not ask twice. When it refuses the file itself, write it again and run it again.
When they name the tool but not its version, run it without writing the file: the tool is recorded, its version unknown.
When the person names a company, customer, product or person they want kept out, hide it. Write the names to
<out>/local/hide-names.json with your file-writing tool, never in a command, since a shell would read a name's & or
apostrophe as its own syntax ([{ "kind": "customer", "name": "<name>" }, …], kind customer, org, product,
person or other), then run
<run> <skill>/scripts/hide.ts --out <out>When it refuses, correct what it names in the file (entries are places in it) and run it again; a name of one
character cannot be hidden, so take it out and tell the person.
When it lists notHidden, those names (by their place in the file) were not hidden: aidlc-word, the name
is part of AI-DLC's own words (Bolt in BOLT_FAILED) or of an AI-DLC message's fixed text, or
ordinary-word, it is an everyday word (Will). Tell the person in one line each, and ask once whether to hide them
anyway: each of AI-DLC's words or messages holding the name, or each value holding that word, then becomes a label, and
the team reads less of the run. If they say yes, write only those names to <out>/local/hide-everywhere.json and run
<run> <skill>/scripts/hide.ts --out <out> --everywherethen collect a new report from this one (the folder it prints in from):
<run> <skill>/scripts/collect.ts --from <from>It makes a new folder with the same window, the names already hidden, the versions the person gave and doctor's result
(doctor is not run twice), with the words holding those names no longer read as AI-DLC's. Read its result as in step 2,
and from then on use its out. If it says project-not-found, the project moved: add --project <its folder now>.
Then remove the earlier folder, which is not sent:
<run> <skill>/scripts/finish.ts --discard --out <the earlier out>emptyFolderLeft: only the empty folder could not be removed (a window or shell has it open); tell the person they can
delete it. folder-in-use: close what has it open (a window, a shell in it) and run it again; when its hint says the
folder holds no report any more, tell the person they can delete it.
The report's own field names, the same in every report, stay as they are. If they say no, leave them, and do not ask again.
4. Cover, check, hand over
<run> <skill>/scripts/cover.ts --out <out>
<run> <skill>/scripts/check.ts --out <out>cover.ts writes aidlc-issue-report.md from safe.json: the window, the versions, what the folder holds and what
was replaced by labels. Do not edit it; run it again after any change to safe.json. check.ts prints, for each hit,
the file, the line or the safe.json field, and the reason — never the value. In safe.json, replace the named value
with <redacted>; refused: only the cover and safe.json are sent, so move any other file out of the folder;
pending: an answer you wrote is not applied yet (the run stopped before its script), so run the command it names, or
delete its file when the person took the answer back. Run
cover.ts and check.ts again until ok: true. Do not hand over anything until the check passes.
Then the person reads the cover. "Please open <out>/aidlc-issue-report.md and read it once. It says what is in
the folder. Is there anything you would not send?" Hide what they name (step 3), run cover.ts and check.ts again,
and go on only when they say it can go. Do not ask twice.
Then:
<run> <skill>/scripts/finish.ts --out <out>It runs the same check once more, then deletes local/ and opens the folder. Pass the same <out> collect printed: it
refuses (ok: false) a folder collect did not make, or one whose check finds anything, and deletes nothing; fix what
it names and rerun it, never delete local/ by hand. Tell the person, briefly: what the folder holds (in one line, from
the cover), that names, paths and anything they typed were replaced by labels (and, if they chose to leave a name in
step 3, that it was left), and "Please send the files in this folder to your AI-DLC contact", with the folder path.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

