The Feedback Loop in AI SDLC
The article discusses the importance of feedback loops in the AI software development lifecycle, emphasizing the balance between autonomous execution and oversight through review gates. It introduces two modes of operation—'Iterate' for supervised tasks and 'Mission' for parallel, autonomous work—both relying on a shared system of checks and knowledge. The feedback loop ensures code quality and system trustworthiness even when developers are not actively involved in every step.
- ▪The feedback loop in AI SDLC consists of autonomous execution and review gates that validate code before merging.
- ▪Two operational modes, 'Iterate' and 'Mission', define how work is structured and supervised based on task complexity and autonomy.
- ▪Review gates check for architecture integrity, code design, layout, logic, and flow correctness to prevent undercooked outputs.
- ▪Both modes use the same knowledge base, branch rules, and feedback mechanisms to maintain consistency and traceability.
- ▪The system relies on specialized agents like harness-lead and harness-worker, each with defined roles and isolation protocols to ensure reliable task execution.
Hacker News (Front Page) files mainly under programming. We currently carry 742 of its stories. Top-voted stories on Hacker News.
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 publisher | Substack |
| Canonical URL | https://makersbreakers.substack.com/p/the-feedback-loop |
| Publication time | Tue, 28 Apr 2026 18:02:52 +0000 |
| Retrieval time | 2026-04-28T18:11:49.537Z |
| Last seen | 2026-04-28T18:11:49.537Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | dntT-IMoSRvK |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
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
The Feedback LoopAutonomous execution, review gates, and how corrections flow back into the systemLuka LeskovsekApr 28, 20261ShareAt Makers & Breakers, I write about what it actually takes to build products — the engineering, the leadership, the systems thinking. These pieces come from real projects and real mistakes. Some challenge assumptions. Most just try to be honest about what I’ve seen work and what hasn’t.This is Part 4 of a series. If you missed the earlier parts: Part 1: The Narrow Landing Surface · Part 2: The Context Tax · Part 3: The Orchestration Layer.Wednesday morning. Five PRs in my queue from missions that ran overnight. The reviewer flagged two of them.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Substack.
Discussion
0 commentsMore from Substack
