Comparison
lazycodex vs self-repair
Verdict
Pick lazycodex if lazyCodex is an agent harness for AI-powered project memory and execution planning in complex codebases via AI agents like Codex; pick self-repair if self-repair provides tools to replicate research experiments on code generation systems self-reparation techniques.
Markdown twin · lazycodex alternatives · self-repair alternatives
GraphCanon updated Oct 7, 2026
8views this month
vs
Trust & integrity
| Signal | lazycodex | self-repair |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 19, 2026 · github_public_v1 | Archived (887d since push) As of Oct 7, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 19, 2026 · github_public_v1 | Not a fork · Personal account As of Oct 7, 2026 · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-07-15 As of Jul 15, 2026 · osv@v1 | No published findings from this source as of 2026-07-11 As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- lazycodex
- Agent harness for complex codebases with project memory and execution planning
- self-repair
- Supports research on self-repair mechanisms for code generation
Stars
- lazycodex
- 3.5k
- self-repair
- 15
Forks
- lazycodex
- 220
- self-repair
- 3
Open issues
- lazycodex
- 21
- self-repair
- 1
Language
- lazycodex
- TypeScript
- self-repair
- Python
Adopt for
- lazycodex
- LazyCodex is an agent harness for AI-powered project memory and execution planning in complex codebases via AI agents like Codex.
- self-repair
- Self-repair provides tools to replicate research experiments on code generation systems self-reparation techniques.
Persona
- lazycodex
- -
- self-repair
- -
Runtime
- lazycodex
- -
- self-repair
- -
License
- lazycodex
- MIT
- self-repair
- -
Last pushed
- lazycodex
- Sep 19, 2026
- self-repair
- May 2, 2024
Categories
- lazycodex
- AI Agents, Developer Tools
- self-repair
- Developer Tools
Trust and health
Maintenance
- lazycodex
- Very active (96%)
- self-repair
- Archived (8%)
Days since push
- lazycodex
- 0d
- self-repair
- 887d
Archived on GitHub
- lazycodex
- No
- self-repair
- Yes
Open issues (now)
- lazycodex
- 21
- self-repair
- 1
Stars delta
- lazycodex
- +286 (30d)
- self-repair
- 0 (30d)
Open issues delta
- lazycodex
- +5 (30d)
- self-repair
- 0 (30d)
OSV dependency advisories
- lazycodex
- No published findings from this source as of 2026-07-15
- self-repair
- No published findings from this source as of 2026-07-11
Full report
- lazycodex
- Trust report
- self-repair
- Trust report
Choose lazycodex if…
- lazycodex is primarily TypeScript; self-repair is Python.
- Tags unique to lazycodex: ai, ai-agents, claude-code, cli.
- Also covers AI Agents.
- For developers managing large or complex projects where automated setup and installation through npx commands are beneficial
When NOT to use lazycodex
- If you prefer not to rely on experimental features such as installing from a Codex marketplace, which may introduce additional setup complexity
Choose self-repair if…
- self-repair is primarily Python; lazycodex is TypeScript.
- Tags unique to self-repair: code-repair, experiments replication, python, research-tools.
- When aiming to replicate specific experimental data from the ICLR 2024 paper on self-repair in code generation
When NOT to use self-repair
- For creating entirely new datasets or conducting large-scale human studies, as this repository focuses on replicating existing experiments
- When the internal dependencies or incomplete code functions such as exec_sample in APPS are critical for your application without modification
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (code-yeongyu/lazycodex) · observed Sep 20, 2026
- GitHub forks (code-yeongyu/lazycodex) · observed Sep 20, 2026
- Last push (code-yeongyu/lazycodex) · observed Sep 19, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (theoxo/self-repair) · observed Oct 7, 2026
- GitHub forks (theoxo/self-repair) · observed Oct 7, 2026
- Last push (theoxo/self-repair) · observed May 2, 2024
- License file (unknown) · observed Oct 7, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: lazycodex 3.5k · self-repair 15 (synced Sep 20, 2026).
Common questions
- What is the difference between lazycodex and self-repair?
- lazycodex: Agent harness for complex codebases with project memory and execution planning. self-repair: Supports research on self-repair mechanisms for code generation. See the comparison table for live GitHub stats and shared categories.
- When should I choose lazycodex over self-repair?
- Choose lazycodex over self-repair when lazycodex is primarily TypeScript; self-repair is Python; Tags unique to lazycodex: ai, ai-agents, claude-code, cli; Also covers AI Agents; For developers managing large or complex projects where automated setup and installation through npx commands are beneficial.
- When should I choose self-repair over lazycodex?
- Choose self-repair over lazycodex when self-repair is primarily Python; lazycodex is TypeScript; Tags unique to self-repair: code-repair, experiments replication, python, research-tools; When aiming to replicate specific experimental data from the ICLR 2024 paper on self-repair in code generation.
- When should I avoid lazycodex?
- If you prefer not to rely on experimental features such as installing from a Codex marketplace, which may introduce additional setup complexity
- When should I avoid self-repair?
- For creating entirely new datasets or conducting large-scale human studies, as this repository focuses on replicating existing experiments When the internal dependencies or incomplete code functions such as exec_sample in APPS are critical for your application without modification
- Is lazycodex or self-repair more popular on GitHub?
- lazycodex has more GitHub stars (3,475 vs 15). Stars measure visibility, not whether either tool fits your constraints.
- Are lazycodex and self-repair open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to lazycodex or self-repair?
- GraphCanon lists graph-backed alternatives at lazycodex alternatives and self-repair alternatives (lazycodex markdown twin, self-repair markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, lazycodex or self-repair?
- lazycodex: Very active. self-repair: Archived. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for lazycodex and self-repair?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: lazycodex trust report; self-repair trust report.