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Recursive-Mode for Coding Agents

Details

External ID
47731307
Source
HN
Company
—
Product
Recursive-Mode for Coding Agents
Website domain
recursive-mode.dev
Launched
April 11, 2026
Cohort
—
Upvotes
6
Upvotes percentile
0.2808483290488432
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

recursive-mode is an installable skill package for coding agents. It gives your agent a file-backed workflow for requirements, planning, implementation, testing, review, closeout, and memory, instead of leaving the whole process scattered in context.Long-running agent work has a common failure mode: requirements, decisions, and plans live in the conversation. Once the session ends or the context window overflows, the agent loses track of what was decided, what was implemented, and why.recursive-mode solves context rot by making repository documents the source of truth for every phase. Requirements, plans, evidence, state, and decisions live in files that persist across sessions, contributors, and repositories. Prompts become short commands, not full specs.The workflow is built on a few simple rules. Each development phase produces one locked output document. Each phase uses earlier phase outputs as input. Before the agent can exit a phase and move forward, it must satisfy defined criteria based on the workflow and prior docs.It is called recursive-mode because the workflow keeps revisiting its own outputs. Later phases consume earlier artifacts. Audited phases loop through draft, audit, repair, and re-audit until the work is actually ready. Closeout feeds validated lessons back into decisions, state.The generated docs are both human-readable and machine-readable. They give strong traceability for what was built, why it was built that way, what changed, and how it was validated. Instead of reconstructing rationale from chat logs, you can point directly to the repo artifacts.That also makes recursive-mode useful beyond day-to-day development. The run docs, together with code diffs in the worktrees, form a high-quality dataset for fine-tuning, auto-training, or self-distillation against your own codebase and engineering process.Chat is treated more like a CLI. You use it for commands, not as the place where critical project knowledge lives. You can refine a plan with the agent, ask it to turn that plan into a new recursive run, or create the run folder and requirements doc yourself, and tell the agent to "implement run 01" to start the run.recursive-mode is a free open source alternative to Missions. It is for developers and teams who want auditable agent runs, recorded evidence, and long or resumable work that can continue without losing context.Installation:npx skills add try-works/recursive-mode --skill '*' --full-depthskills.sh:https://skills.sh/try-works/recursive-mode/recursive-modeGitHub:https://github.com/try-works/recursive-modeFor detailed documentation:https://recursive-mode.dev/Write-up with benchmark:https://try.works/recursive-mode-for-coding-agents

Enrichment

Theme
AI agent frameworks and developer tools
Vertical
Horizontal
Function
Agent / copilot
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
recursive mode for coding agents
Manually corrected
False

Could you build this?

Yes This is an agent workflow/prompt scaffolding package that manages markdown/text files for tracking planning, testing, and context for coding agents. It can easily be vibe-coded with basic file-system scripts and prompt templates.

Discussion

1 comment analyzed.

Competitors mentioned: Custom paper-to-markdown conversion tools, Chat history-based requirement tracking

Concerns raised: Knowledge loss across agent sessions, Context rot in development processes

Feature requests: Integration with skill files as knowledge layer, Structured markdown extraction from papers with YAML triggers, Locked output documents for persistent agent-consumable knowledge

Competitors

Other products that read as similar to this one — 384 launches clear the similarity bar, closest 8 shown.

Attention rank: #312 of 385 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 159 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a agent / copilot tool for Agriculture yet.