Guildly vs Sqlsure

Guildly and Sqlsure are both coding assistants tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Guildly

Each agent has a fixed role: PM writes PRDs, Manager routes tickets, SDEs work in isolated git worktrees, Reviewer signs off before anything merges. Every action traces back through a chain — line of code to ticket, ticket to PRD, PRD to the #general message that started it. The audit trail isn't a report you run after the fact; it's the structure the system runs on. That structure is also the ceiling: teams needing agents to adapt their process mid-sprint, or handle workflows that don't fit the six-role model, will hit the playbook's edges before long. The tool is in beta, with no API and no self-hosted option, so the surface you can extend is narrow.

Sqlsure

sqlsure inspects SQL for semantic violations — fan-out double-counting, additivity errors, wrong join keys, policy breaches — none of which a database engine will flag because the SQL is syntactically valid. It installs via pip, exposes an API, and is licensed Apache-2.0, so it drops into a CI pipeline or a text-to-SQL agent without negotiating with a vendor. The maintainers report finding real bugs in the BIRD and Spider benchmarks, which means the checks are specific enough to catch what polished evaluation suites missed. The tool performs one-shot deterministic checks — it is not an agent and does not plan or self-correct, so the intelligence is in your schema modeling, not the tool's reasoning.

Attribute	Guildly	Sqlsure
Pricing	Free	Free
Free trial	No	No
Open source	No	Yes
Has API	No	Yes
Self-hosted option	No	Yes
Platforms	macOS	Python
Pros	Deterministic six-role workflow (PM → Manager → SDE → Reviewer) means agents don't improvise or skip steps, so you're not debugging a PR that nobody remembers creating. Full audit chain from code line to PRD to originating conversation, which means tracing a regression takes seconds instead of a git-blame session that still doesn't explain the why. Git worktree isolation per SDE ticket, so parallel agents working the same repo don't stomp each other's files mid-sprint. Model-agnostic agent identity — swapping the underlying LLM doesn't wipe team history or personality, so a model deprecation doesn't mean starting over. Per-agent token dashboard with cost limits on autopilot, so you can walk away without discovering in the morning that the overnight run cost more than you planned.	Catches fan-out double-counting and additivity violations before execution, so a bad join in a generated query fails the CI gate rather than silently inflating a revenue metric on a dashboard. Deterministic, schema-aware checks rather than probabilistic scoring, which means a violation either fires or it doesn't — no threshold to tune and no false-negative rate to accept on individual rule classes. Apache-2.0 license with pip install and self-hosted deployment, so it drops into a private data environment without data leaving the network — a hard requirement for teams under financial or healthcare data policy. Exposes an API and includes integration scaffolding, so it connects as a pre-execution step inside a text-to-SQL agent without requiring the agent to be rebuilt around the tool. Validated against BIRD and Spider benchmark queries, meaning the rules are specific enough to surface errors that established evaluation suites did not flag — giving teams a calibration point beyond synthetic test data.
Cons	The six-role org chart is fixed — if your project needs a different shape (a dedicated QA agent, a data engineer, a second PM), the structure doesn't bend. Teams with non-standard workflows end up either forcing their process into the existing roles or looking at tools that let them define their own agent topology. No API means you cannot plug Guildly into an existing CI/CD pipeline, a Jira board, or a monitoring stack. Teams that need agents embedded in broader toolchains hit a dead end and move to a framework they can integrate themselves. Beta-only availability with no self-hosted option means you cannot deploy Guildly in an air-gapped or regulated environment. Any team with data residency requirements is blocked entirely.	The rule library covers the violations the maintainers have encoded — fan-out, additivity, join keys, policy. Any semantic error outside those categories passes through without a flag. Teams whose biggest failure mode is hallucinated table names or ambiguous aggregation logic will hit this ceiling immediately and add an LLM-as-judge layer, at which point they are running two eval systems in parallel. The schema model the tool reasons against must be constructed and kept in sync with the actual database schema. For teams with schemas that change frequently — new dbt models, column renames, type changes — maintaining that model file becomes an ongoing engineering task that scales with schema complexity, not query volume. At sufficient schema churn, teams switch to approaches that infer schema context dynamically rather than from a maintained artifact. The project has a small commit history and no listed community integrations beyond the repository's own scaffolding, which means operational questions — edge case behavior, schema model format ambiguities, rule extension — land on the maintainer or on reading source code. Teams that need guaranteed response SLAs on blocking issues move to tools with active commercial support.

Bottom line

Sqlsure is open source; only Sqlsure exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Guildly and Sqlsure?

Guildly is Free, while Sqlsure is Free and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Guildly better than Sqlsure?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.