CanyonTechs AMP Review (2026): Pricing, Features & Honest Verdict

CanyonTechs AMP watches your production logs, works out which code broke, and opens a pull request with a fix before you get to standup. Best for: small engineering teams without a dedicated on-call rotation. Price: Free for 5 fixes a month, $25 per month for 100. Rating: 6/10.

What is CanyonTechs AMP?

AMP is an auto-remediation agent for production incidents. It ingests your application logs, clusters the noise into distinct incidents, reads the stack trace alongside your repository, forms a hypothesis about the cause, runs targeted tests, and then opens a pull request with the proposed fix and files the matching Jira ticket. The tagline is “production incidents, fixed before standup”, and the product is currently at version 2.4.

We found it on Product Hunt, launched by Canyon Technologies LLC with Mahendra Tharshanan as founder, alongside Kavya Tharshanan and Dhaval Goti. The important design decision, and the one that makes this evaluable at all, is that AMP never touches production. It opens a PR on a feature branch and your existing review process, CI checks and merge policies stay in control. Automated merges are off unless you explicitly turn them on.

What are CanyonTechs AMP’s key features?

Incident detection from raw logs

AMP uses Drain3-based clustering to collapse repetitive log noise into distinct incidents, then applies stack-trace-aware extractors to find the failing exception, file and line across distributed services. Heuristic filters drop INFO and WARN chatter at ingest. Logs arrive via Vector, AWS CloudWatch or a lightweight log agent, so you are not forced onto a particular observability vendor.

Autonomous remediation into a pull request

The remediation agent reads the stack, browses the repository, runs the tests and opens a PR. The published example walks through a NullPointerException at a named file and line, a diagnosis of an uninitialised builder when a discount value is null, and a proposed three-file change wrapping it in an Optional. Every incident gets a deterministic ID derived from file, type and message, and every artifact from the branch to the PR to the Jira ticket carries that ID, so tracing a change back to its root cause is one click.

Auditable, replayable agent runs

Every agent step is recorded with timestamps, prompts, tool calls and outputs, and each run is fully replayable from the incident detail page. If AMP proposes a bad fix you close the PR, and the agent records the rejection against that incident and will not repeat the proposal. For a category where the main objection is “I do not trust it”, a complete audit trail and a rejection signal are the right answers.

Language-aware parsing for the JVM, CPython and Node

Rather than a generic regex over log lines, AMP ships extractors that understand the exception formats of specific runtimes. This is the difference between finding the line that broke and finding the line that printed.

Isolation and encryption by default

Each remediation runs in a fresh, single-use sandbox. Your repository is cloned, used and destroyed without persisting to disk beyond the run. Traffic is TLS 1.2 or better in transit, AES-256 at rest in AWS-managed KMS, and integration credentials get a per-workspace key. Application workloads sit in private subnets with no public ingress to databases and a tightly scoped egress NAT for calls out to LLM providers and your version control.

How much does CanyonTechs AMP cost?

AMP starts free. The Starter plan is $0 a month for up to 2 repositories and 5 auto-fixes a month with basic LLM access, best-effort uptime and 7 days of audit log retention. Professional is $25 a month for up to 10 repositories and 100 auto-fixes, adding a 99.9% uptime SLA, priority ticket support, advanced code analysis, CI/CD integration and 90-day audit logs. Enterprise is custom, covering on-premise deployment, custom and fine-tuned models routed through your VPC, unlimited repositories with multi-org support, unlimited fixes, a 99.99% SLA, indefinite audit retention and a dedicated solutions architect.

The unit here is refreshingly concrete. At $25 for 100 auto-fixes, a fix costs 25 cents. That is a number you can hold against the cost of an engineer spending twenty minutes on the same NullPointerException, and the comparison is not close. After a run of tools that meter in undefined credits, a plan denominated in the thing you actually want is worth marking up.

Against the field, $25 is aggressive. Sentry, the obvious incumbent for error tracking, runs a free Developer plan forever and then charges on event volume, with its AI debugging agent sold on top. Rootly, in incident management, publishes no pricing at all. AMP is doing something narrower than either and charging less than both.

Why does the free plan not include CI/CD integration?

Look closely at the feature matrix and the Starter plan has a gap where the product should be. CI/CD integration is marked as not included on Starter and included on Professional and Enterprise. AMP’s entire value proposition is a loop that runs from log ingest through diagnosis to a validated pull request in your pipeline. Cut the pipeline hook and what remains is a log parser that writes patches.

Combine that with 5 auto-fixes a month and 2 repositories and the free tier is a demonstration rather than a plan. That is a legitimate choice, and $25 is cheap enough that the step up is not painful. It is worth being clear-eyed that you cannot evaluate the actual product on the free tier, which is different from most free tiers in developer tooling.

There is a second gap in the same table. Starter lists “Basic LLM Access” and Professional lists “Advanced Code Analysis”, but no row anywhere states which models you get, how much inference is included, or what happens if you exceed it. The FAQ separately says AMP supports any OpenAI-compatible API and that you can bring your own key for Anthropic, OpenAI or self-hosted models, with Enterprise supporting custom models through your VPC. Whether bringing a key is optional or eventually necessary is exactly the question a buyer needs answered, and the pricing page does not answer it.

How well do the vendor’s own claims hold up?

We ran the numbers on the site against itself and found two things worth flagging.

The first is language support, which AMP states three different ways. The homepage subheading says AMP tails your “Java, Python, JavaScript, TypeScript, and Node.js logs”, which reads as five. The statistics block on the same page says “3 Native languages”. The badge row directly beneath names Java, Python and Node.js. And the Product Hunt listing says Java, Python, TypeScript, Node.js and Rust, adding a language that appears nowhere on the site and dropping one that does. The honest answer is three runtimes, the JVM, CPython and Node, which is what the badge row and the statistic both say. JavaScript, TypeScript and Node.js are one runtime counted three times, and Rust looks like an error. Three well-supported runtimes is a perfectly good claim. Inflating it in two different directions on two different pages is the kind of thing that makes an engineer distrust the 82% figure as well.

Which brings us to the second. AMP publishes an 82% autonomous fix rate, a median MTTR of under 4 minutes and 100% human-in-the-loop. The last is a design fact and verifiable. The first two are self-reported with no methodology, no sample size, no benchmark and no customer data behind them. Meanwhile the section headed “Trusted by DevOps Teams” claims customers ranging “from early-stage startups to Fortune 500 enterprises” and names not a single one. No logos, no case studies, no quotes. A Fortune 500 claim is specific and completely unsupported, and it sits oddly next to a security page that is otherwise scrupulous about what it can and cannot evidence.

That security page is the strongest thing on the site and deserves the counterweight. AMP lists SOC 2 Type II as live with the report available under NDA, GDPR and UK GDPR as live with a DPA on request and EU data residency for Enterprise, ISO 27001 as in flight with a Stage 2 audit scheduled for Q3 2026, and HIPAA and FedRAMP explicitly on the roadmap for 2027. Labelling what is not yet certified, with dates, is rarer than it should be and is the opposite instinct to the Fortune 500 line.

Who is CanyonTechs AMP best for?

Use AMP if you run a small team on the JVM, Python or Node, you have production traffic generating real exceptions, and nobody is paid to sit on call. The economics are compelling at that size: $25 a month against the cost of an engineer context-switching out of feature work to chase a stack trace. The PR-only design means the blast radius of a wrong fix is a closed pull request, which makes it a low-risk thing to trial.

Skip AMP if your stack is Go, Rust, Ruby, PHP or .NET, since none of those have native extractors regardless of what the Product Hunt listing says. Skip it if your compliance process requires named references before you grant a tool repository access, because there are none to give you. And skip the free tier as an evaluation route, since without CI/CD integration you are not testing the product.

Best CanyonTechs AMP alternatives

Sentry is the incumbent and the default. Its Developer plan is free forever, it prices on event volume across errors, traces, replays and logs, and it now bundles an AI debugging agent that proposes root causes and fixes. It is a much bigger, much more proven product with vastly more integrations. AMP is narrower and goes further, in that it opens the PR rather than explaining the bug.

Rootly operates one layer up, in incident management and response coordination rather than code-level remediation. It publishes no pricing and sells through a demo. Choose it if your problem is that incidents are handled chaotically by humans, not that nobody is fixing the exceptions.

Your existing AI coding agent plus an alert is the honest zero-cost alternative. Pipe the stack trace into Claude Code or Cursor by hand and you get much of the diagnosis for free. AMP is selling the automation of noticing, deduplicating, prioritising and opening the PR, which is real work, but it is worth knowing what the manual baseline gets you before paying for it.

Final verdict: is CanyonTechs AMP worth it?

AMP is a good idea, competently built, with the right safety model and a security posture stronger than the company’s size suggests for a company this small. The unit economics are the best part: 25 cents per auto-fix is a number you can defend in a budget meeting, and the free tier and the launch promotion make it cheap to try. The PR-only, never-touch-production design and the fully replayable audit trail show a team that understands why engineers distrust this category.

It scores 6 rather than higher because the marketing keeps undercutting the engineering. Three different language lists across two of the vendor’s own pages, an 82% fix rate with no methodology, and a Fortune 500 customer claim with zero named customers are all avoidable, and they land badly on an audience that checks things for a living. The free tier also cannot demonstrate the product, since it excludes the CI/CD integration that closes the loop. Try it on the $25 plan on one noisy repository, judge it on the pull requests it opens rather than the statistics on the homepage, and revisit when there are customers on the record.