act101 vs FixBugs

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

act101 compared with FixBugs
Detail	act101	FixBugs
What it does	Quality infrastructure for AI-written code with deterministic refactoring and a merge gate	AI debugging for modern engineering teams
Stage	Startup	Startup
Founded	2026	2025
Based in	US	US
Pricing model	Freemium	Freemium
Pricing	Builder Edition: Free forever for personal, non-commercial, and open-source use. Engineering Edition: $29/month or $299/year (save 14%). Architecture Edition: $59/month or $599/year (save 15%). Elite Edition: $99/month or $999/year (save 16%). Enterprise: Custom pricing, contact sales. All editions	Free Trial: 3 bug fixes per month. Pro: $33/month for 15 bug fixes per month (or $24.75/month billed as $297/year with annual discount). Super User: $60/month for 30 bug fixes per month (or $45/month billed as $540/year with annual discount). Enterprise: Custom pricing with custom bug fix volume.
Key features	182 AST-aware refactor operations for code transformation 42 codebase analyzers for code analysis Support for 163 programming grammars Deterministic merge gate with signed receipts MCP server and CLI interfaces Cross-file import updates and automatic checkpointing 10 cross-language porting operations Instant undo for all operations ~88% token savings on query operations Native binary with zero dependencies and no supply chain risk	Automated alert triage from monitoring stack Root cause analysis across distributed systems Issue reproduction in controlled environment Validated fix generation with test cases VS Code extension for local debugging GitHub App for automated analysis Self-hosted deployment option Integration with logs, traces, metrics and alerts Visible reasoning chain for every fix Triage sessions shareable and reloadable
What makes it different	Deterministic verdicts and signed receipts for every code change ensure reproducible quality gates Built by engineer with decades of production experience in correctness-critical domains	Validation-first approach with reproduction tests and regression verification Built specifically for debugging existing bugs, not writing new code Handles complex distributed systems with stateful, auditable workflows No hard upper limit on context, processes automated log and trace ingestion Local deployment keeps code on user's machine
Community votes	0	0
DR (Domain Rating by Ahrefs)	27 no change since last check	36 no change since last check
Trust Flow (Majestic)	8	0
Citation Flow (Majestic)	31	13
Referring domains (Majestic)	182	73

8 details filled in for both companies.

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