Improve every build.

What 45,661 builders already learned—inside your coding agent.What to build. How to build it. Updated daily.

45,661 builders. 11,436 products. 9,211 methods. 4,284 problems. 1,096 use cases. Connected to the sources that show what happened.

Explore the data

Claude Code CLI Example

~/acme/backend-review
acme/backend-review main $ claude
Claude Code
cwd: /Users/maya/acme/backend-review
mcp: truthapi connected
>
We need a multi-agent code review workflow for backend PRs. I was going to build a reviewer from scratch with 5 subagents. Before we commit, check the field: what has already worked, what broke, and what should we copy?
Claude I will check current tools, user reports, and failure modes before designing the workflow.
2 parallel tool calls
mcp__truthapi__getSummaries × 2
[
  {
    "query": "multi-agent code review workflows demonstrated results",
    "total": 120
  },
  {
    "query": "multi-agent code review failures token burn limitations",
    "total": 120
  }
]
240 records surfaced · 5 source types · counterevidence checked
  • [repo] postmortemthis: multi-model PR review CLI using Claude Code, Codex, Gemini, Qwen, Vibe.
  • [docs] Claude Code review plugin: 4 parallel reviewers, confidence threshold at 80, final synthesis.
  • [problem] runaway subagents: user reports severe token burn and rate-limit exhaustion.
Claude I found a likely dead end: unbounded subagents. I need the source records before changing the plan.
tool use
mcp__truthapi__getSet
{
  "ids": ["postmortemthis", "claude-code-review-plugin",
          "ultracost", "runaway-subagents"]
}
4 decisive records inspected in full
  • postmortemthis already implements the same product shape: multi-model review, aggregate findings, final verdict.
  • The strongest working pattern is bounded fan-out: 3-4 reviewers, not open-ended subagents.
  • Cost controls are not optional: preflight estimate, per-stage routing, hard stop on budget.
Claude
plan changed
  1. Adapt the existing bounded consensus architecture instead of starting from scratch.
  2. Use 3 reviewers with confidence and budget gates.
  3. Return only source-backed findings with file, line, evidence, and fix.
outcome skipped the five-subagent dead end, copied the field-tested pattern, and avoided the token-burn failure before writing code.

"Dorsal is integrated into the Keelo Brain and used every day to discover technologies, methods, and open-source components for specialized customer agents."

Founder, Keelo.ai