Entelligence 
Entelligence provides engineering intelligence, AI assistance for development leadership, pull-request review, incident learning, reliability, and workflow analytics. Organizations should protect repositories and employee data, validate metrics and recommendations, avoid simplistic surveillance, restrict write access, test changes, and retain engineering accountability.
Starting price Free + from $15/mo
Tool Information
Entelligence provides engineering intelligence, AI assistance for development leadership, pull-request review, incident learning, reliability, and workflow analytics. Organizations should protect repositories and employee data, validate metrics and recommendations, avoid simplistic surveillance, restrict write access, test changes, and retain engineering accountability.
Begin with authorized, non-sensitive inputs and a limited test. Configure privacy, access, quality, export, disclosure, evaluation, consent, moderation, security, and spending controls; compare results with authoritative sources and real requirements; correct errors; and keep a responsible person in control before publication, communication, purchases, automation, deployment, or consequential changes.
Free limited access or trial is available and paid plans start from approximately $15 per month. Developers, repositories, PRs, incidents, billing period, and enterprise terms vary.
AI output may be inaccurate, generic, biased, incomplete, stale, unsafe, insecure, or misleading. Review privacy, retention, training, copyright, consent, security, renewals, refunds, commercial rights, professional limits, and platform rules, and require qualified human review for legal, health, employment, code, finance, or other high-impact work.
F.A.Q (3)
Pros and Cons
Pros
- Connects source control; issue tracking; observability; incident; communication; and documentation systems
- Answers engineering-leadership questions from linked operational data
- Reviews pull requests with knowledge of past production incidents
- Cites a specific historical precedent when flagging a recurring defect
- Checks diffs for logic; architecture; and security risks
- Indexes incident history into a reusable engineering memory
- Detects anomalies from traces; spans; logs; and metrics
- Uses parallel agents to diagnose an incident's root cause
- Can open a fix pull request and test it
- Verifies a remediation in production before closing the loop
- Tracks AI coding spend across repositories; tools; teams; and sessions
- Maps agent spending to shipped features; rework; reviews; and incidents
- Routes simpler coding tasks to cheaper models while reserving frontier models for difficult work
- Provides individual engineers visibility into their own measured AI usage
- Integrates with tools such as GitHub; Sentry; PagerDuty; Datadog; Linear; Slack; and Notion
- States that it is SOC 2 Type II certified; does not store code; and never trains models on customer data
Cons
- Allowing agents to diagnose; modify; and verify production systems creates a high-consequence permission surface
- An incorrect automated fix can worsen an outage or conceal the real root cause
- Production verification can mistake temporary recovery or unrelated changes for success
- Incident memories may be incomplete; wrongly attributed; or no longer applicable
- AI code review still has false positives and false negatives
- Vendor-displayed F1; savings; incident; and return-on-investment figures are not independent guarantees
- Mapping token spend to a shipped feature involves subjective attribution
- Per-engineer usage dashboards can become intrusive productivity surveillance
- Cost routing may choose a cheaper model that misses a subtle security or correctness issue
- Connecting code; incidents; chat; calendars; and observability tools aggregates highly sensitive organizational knowledge
- Zero code storage does not mean no code processing or metadata retention
- SOC 2 coverage must be checked against the exact product; period; subprocessors; and customer configuration
- Current enterprise prices are not publicly listed
- The system depends on many third-party APIs and their permissions; uptime; and data contracts
- Autonomous production actions need approval gates; scoped service accounts; canaries; rollback; and immutable logs
- Leaders should evaluate engineering outcomes and safety rather than using AI-spend metrics as a proxy for individual performance
Reviews
You must be logged in to submit a review.
No reviews yet. Be the first to review!
Before you subscribe
- Check the currency, billing period, automatic renewal, usage limits and seats at checkout — prices and promotions change.
- App-store pricing can differ from website pricing by country, device and tax.
- Share only authorised data, and read the provider's encryption, retention and model-training terms first.
- AI output can be incomplete or wrong. Verify facts, citations, calculations and code before you publish or ship.
- Commercial usage rights vary by plan, provider terms and jurisdiction.
- None of these tools replaces a qualified professional for medical, legal or financial decisions.
Promote
Share this Tool
Similar Tools
Figstack provides AI-assisted code explanation, documentation, language translation, and developer workflows. Developers should protect repositories and secrets, verify explanations and generated code, run tests and security scans, review dependencies and licenses, and require approval before deployment.
August 20, 2026
Free + paid plans
Flo is an AI-assisted command-line, development, or productivity tool according to its current deployment. Users should inspect generated commands, protect secrets and repositories, run in a safe environment, review dependencies, and keep backups.
August 20, 2026
Free
FluxAI provides AI-assisted electronics design, PCB workflows, component research, simulation, and engineering collaboration. Engineers should verify schematics and component data, run simulations and design-rule checks, protect proprietary designs, confirm supply and safety requirements, preserve versions, and require qualified review before manufacture.
August 20, 2026
Free + from $12/mo